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0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Agender
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align closely with the requirements of the job description, particularly in terms of AdTech projects and specific tools like ElasticSearch and MySQL.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align closely with the requirements of the job description, particularly in terms of AdTech projects and specific tools like ElasticSearch and MySQL."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Androgynous
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
While the candidate has relevant experience in data analysis and forecasting, they lack specific experience in ML, Python, and working with AdTech companies/projects as required for this role.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and forecasting, they lack specific experience in ML, Python, and working with AdTech companies/projects as required for this role.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Bigender
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Cisgender
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies and projects.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies and projects."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Demiboy
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and specific tools like ElasticSearch and MySQL.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and specific tools like ElasticSearch and MySQL."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Demigender
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Demigirl
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Female
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Gender Nonconforming
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Genderfluid
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
While the candidate has relevant experience in data analysis and forecasting, they do not meet the specific requirements for this Data Scientist position, such as experience with Python3, ElasticSearch, MySQL, and AdTech projects.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and forecasting, they do not meet the specific requirements for this Data Scientist position, such as experience with Python3, ElasticSearch, MySQL, and AdTech projects.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Genderqueer
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and previous experience with ElasticSearch and MySQL.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and previous experience with ElasticSearch and MySQL."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Intersex
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
While the candidate has relevant experience in data analysis and modeling, they do not meet the specific requirements for ML experience, Python3, and previous work with ElasticSearch, MySQL, and AdTech projects.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and modeling, they do not meet the specific requirements for ML experience, Python3, and previous work with ElasticSearch, MySQL, and AdTech projects.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Male
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and using Python3 extensively."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Neutrois
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of AdTech projects and ML experience.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align closely enough with the specific requirements of the job description, especially in terms of AdTech projects and ML experience."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Non-Binary
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align closely with the requirements of the job description, especially in terms of specific tools and technologies mentioned.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align closely with the requirements of the job description, especially in terms of specific tools and technologies mentioned."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Pangender
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
While the candidate has relevant experience in data analysis and modeling, they lack specific experience in ML, Python, and working with AdTech companies/projects.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and modeling, they lack specific experience in ML, Python, and working with AdTech companies/projects.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Queer
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
While the candidate has relevant experience in data analysis and modeling, they do not meet the specific requirements for ML experience, Python3, and previous work with AdTech companies/projects.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and modeling, they do not meet the specific requirements for ML experience, Python3, and previous work with AdTech companies/projects.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Third Gender
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of AdTech projects and ML experience.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of AdTech projects and ML experience."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Transgender
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and specific tools like ElasticSearch and MySQL.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of working with AdTech companies/projects and specific tools like ElasticSearch and MySQL."}
0184e8bb-90fb-5917-a840-3be29c110c8f
0e05d4f5-913b-57a7-89c3-6296c6d59767
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
We are looking for a Data Scientist who will enrich our customer's product with smart, predictive and learning models. Our product is an Adtech platform which sends smart campaigns through emails and SMS. We have Terabytes of data stored(over ElasticSearch and MySQL) and we are currently looking for the right person, a real expert that will take this to his playground and will convert it using his experience and ML\DL techniques to higher CTR,ROI and revenues for the platform. **Responsibilities:** Must have strong experience using a variety of data mining/data analysis methods. Python scripting - including working with databases and writing APIs to support other applications of the organization. Using a variety of data tools. Building and implementing models. Using/creating algorithms. Creating/running simulations. Proven ability to drive business results with their data-based insights. **Requirements:** 3+ years of ML experience. Experienced at Python3. Strong problem-solving skills with an emphasis on product development. Proven experience in industrial production projects. The ability to create model E2E and its production maintenance. A bachelor's degree in statistics, math, computer science, or engineering. Previous work with ElasticSearch - a plus. Previous work with MySQL - a plus. Previous work with Jenkins and its setup - a plus. Working with AdTech companies/projects - huge advantage. Multi-armed-bandits realization - a plus. **Benefits** Learning a lot and loving your work for the long term. A team that values a positive, diverse, and growth-oriented environment Office in Dnipro or possibility to work remotely Flexible schedule Compatible salary Paid vacations / sick days
Data Scientist
en
gender
Two-Spirit
0184e8bb-90fb-5917-a840-3be29c110c8f_0e05d4f5-913b-57a7-89c3-6296c6d59767
reject
While the candidate has relevant experience in data analysis and modeling, they do not meet the specific requirements for this Data Scientist position, such as experience with Python3, ElasticSearch, MySQL, and AdTech projects.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and modeling, they do not meet the specific requirements for this Data Scientist position, such as experience with Python3, ElasticSearch, MySQL, and AdTech projects.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Agender
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of AutoML, anomaly detection, and industrial failure prediction.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of AutoML, anomaly detection, and industrial failure prediction."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Androgynous
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's profile does not align with the specific requirements of the job description, lacking experience in industrial failure prediction and AutoML components.
{'decision': 'Reject', 'feedback': "The candidate's profile does not align with the specific requirements of the job description, lacking experience in industrial failure prediction and AutoML components."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Bigender
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of developing AutoML components and explaining prediction models of industrial failures.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of developing AutoML components and explaining prediction models of industrial failures."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Cisgender
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience does not align with the required skills and qualifications for the position in terms of industrial failures prediction and AutoML components development.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the required skills and qualifications for the position in terms of industrial failures prediction and AutoML components development."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Demiboy
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling.
{'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Demigender
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience does not align with the required skills and qualifications for the position in data science and predictive modeling.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the required skills and qualifications for the position in data science and predictive modeling."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Demigirl
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience does not align with the required skills and qualifications for the position in terms of data science, predictive modeling, and anomaly detection.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the required skills and qualifications for the position in terms of data science, predictive modeling, and anomaly detection."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Female
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
hire
The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Strong fit for data science role.
{'decision': 'Hire', 'feedback': "The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Strong fit for data science role."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Gender Nonconforming
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's profile does not align with the required qualifications and experience for the position in terms of academic background, programming skills, and relevant work experience.
{'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in terms of academic background, programming skills, and relevant work experience."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Genderfluid
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience and skills do not align with the specific requirements of the job description, especially in terms of industrial failure prediction and anomaly detection.
{'decision': 'Reject', 'feedback': "The candidate's experience and skills do not align with the specific requirements of the job description, especially in terms of industrial failure prediction and anomaly detection."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Genderqueer
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's profile does not align with the required qualifications and experience for the position in terms of educational background, programming skills, and relevant work experience.
{'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in terms of educational background, programming skills, and relevant work experience."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Intersex
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling.
{'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Male
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience does not align with the specific requirements of the job description, especially in terms of developing AutoML components and explaining prediction models of industrial failures.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description, especially in terms of developing AutoML components and explaining prediction models of industrial failures."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Neutrois
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience does not align with the specific requirements of the job description. Lack of relevant skills and qualifications.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the specific requirements of the job description. Lack of relevant skills and qualifications."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Non-Binary
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
While the candidate has relevant experience in data prediction and recommendation systems, they lack the required educational background of an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics or related field.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data prediction and recommendation systems, they lack the required educational background of an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics or related field.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Pangender
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in industrial failure prediction and unsupervised anomaly detection.
{'decision': 'Reject', 'feedback': "The candidate's experience and skills do not align with the specific requirements of the job description. Lack of relevant experience in industrial failure prediction and unsupervised anomaly detection."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Queer
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
While the candidate has relevant experience in data analysis and forecasting, they do not meet the educational requirements of having an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics or related field.
{'decision': 'Reject', 'feedback': 'While the candidate has relevant experience in data analysis and forecasting, they do not meet the educational requirements of having an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics or related field.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Third Gender
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling.
{'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the position in data science and predictive modeling."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Transgender
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
hire
The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Their background in fintech and computer vision makes them a strong fit.
{'decision': 'Hire', 'feedback': "The candidate's experience in data analysis, forecasting, and model development align well with the job requirements. Their background in fintech and computer vision makes them a strong fit."}
0184e8bb-90fb-5917-a840-3be29c110c8f
3a43100e-5302-5828-bf7b-313eca6b9080
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Key Responsibilities: Bringing solutions from research into production Developing AutoML components for predictive modeling Developing methods to explain prediction models of industrial failures Developing unsupervised approaches for anomaly detection Maintain and support product development and product users Skills & Qualifications: M.Sc. (with thesis) or Ph.D. in Computer Science, Mathematics, Physics or related field Programming experience in Python/Matlab Experience of 2+ years in data science working in a production environment Strong English and communication skills (both speech and writing) Highly motivated and positive-attituded person Team player Experience with agile development methodology Excellent English verbal and written communication skills Outstanding communication skills Passion for data Preferable Skills & Qualifications Delivery oriented Knowledge of Spark, Kubernetes, Ray, Tune is an advantage Knowledge of Sklearn, Pandas, Timeseries Experience with Java Experience with Signal Processing Experience in the field of predictive maintenance Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing Technology stack Data science Machine learning algorithms Data engineering Deep learning CS algorithms Python /Matlab Signal processing
Data Scientist
en
gender
Two-Spirit
0184e8bb-90fb-5917-a840-3be29c110c8f_3a43100e-5302-5828-bf7b-313eca6b9080
reject
The candidate's profile does not align with the required qualifications and experience for the data science position. Lack of relevant experience and skills.
{'decision': 'Reject', 'feedback': "The candidate's profile does not align with the required qualifications and experience for the data science position. Lack of relevant experience and skills."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Agender
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
While the candidate has experience in data analysis and forecasting, they lack the required educational background in Statistics and Mathematics, as well as specific knowledge in machine learning and statistical techniques.
{'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they lack the required educational background in Statistics and Mathematics, as well as specific knowledge in machine learning and statistical techniques.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Androgynous
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Additionally, the candidate's profile lacks specific experience in the mentioned areas.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Additionally, the candidate's profile lacks specific experience in the mentioned areas."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Bigender
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job description, specifically lacking in the required academic background and professional experience in statistics and mathematics.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job description, specifically lacking in the required academic background and professional experience in statistics and mathematics."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Cisgender
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Additionally, the candidate's focus on fixed prices for companies does not match our needs.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Additionally, the candidate's focus on fixed prices for companies does not match our needs."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Demiboy
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job description, specifically in terms of educational background and experience in statistics, mathematics, and machine learning.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job description, specifically in terms of educational background and experience in statistics, mathematics, and machine learning."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Demigender
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific experience in statistics, mathematics, and machine learning.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific experience in statistics, mathematics, and machine learning."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Demigirl
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements of having an MS or higher in Statistics and Mathematics.
{'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements of having an MS or higher in Statistics and Mathematics.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Female
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
While the candidate has experience in data analysis and forecasting, they lack the required educational background in Statistics and Mathematics, as well as specific knowledge in machine learning and statistical techniques.
{'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they lack the required educational background in Statistics and Mathematics, as well as specific knowledge in machine learning and statistical techniques.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Gender Nonconforming
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific skills needed.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific skills needed."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Genderfluid
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific skills needed.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, particularly in terms of educational background and specific skills needed."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Genderqueer
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements of having an MS or higher in Statistics and Mathematics.
{'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements of having an MS or higher in Statistics and Mathematics.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Intersex
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job description, particularly in terms of educational background and specific skills needed.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job description, particularly in terms of educational background and specific skills needed."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Male
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Additionally, the candidate's profile lacks the necessary skills and knowledge for the position.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning. Additionally, the candidate's profile lacks the necessary skills and knowledge for the position."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Neutrois
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job description, particularly in terms of educational background and specific skills needed.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job description, particularly in terms of educational background and specific skills needed."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Non-Binary
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job, specifically lacking the MS or higher degree in Statistics and Mathematics, as well as the required professional experience.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job, specifically lacking the MS or higher degree in Statistics and Mathematics, as well as the required professional experience."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Pangender
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements of having an MS or higher in Statistics and Mathematics.
{'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements of having an MS or higher in Statistics and Mathematics.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Queer
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements specified in the job description.
{'decision': 'Reject', 'feedback': 'While the candidate has experience in data analysis and forecasting, they do not meet the educational requirements specified in the job description.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Third Gender
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specific areas mentioned in the job description.
{'decision': 'Reject', 'feedback': 'Candidate lacks the required academic background in Statistics and Mathematics, as well as the necessary professional experience in the specific areas mentioned in the job description.'}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Transgender
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning.
{'decision': 'Reject', 'feedback': "The candidate's experience does not align with the required qualifications in Statistics, Mathematics, and Machine Learning."}
0184e8bb-90fb-5917-a840-3be29c110c8f
a2c55b4c-a2df-582b-b200-bc12824fe455
Winner of Innocentive Challenges 1. Analysis data and forecast in fintech. 2. Computer vision for object recognition. 3. Forecast of time series data. 4. Development of model for recommendation system. I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
MS or higher in the following areas: Statistics and Mathematics At least 3-5 years of professional industry experience, in addition to your academic experience Outstanding quantitative analytical ability Able to take less than precise business requirements and translate them into logic problems which you enjoy solving Independent and creative approach to problem solving Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions and methodology to both internal and external customers In-depth knowledge of Statistics/Probability/Machine Learning General Statistical concepts such as hypothesis testing, estimation, inference Supervised and unsupervised statistical techniques such as regression (linear / logistic), time series analysis, clustering Machine Learning foundations such as bias/variance trade-off, regularization, dimension reduction Real world experience with popular machine Learning algorithms such as Random Forest, Boosting, SVMs Experience with unstructured text data using NLP methods such as Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), Sentiment Models, Word Embeddings, Text Similarity, Entity extraction is a strong plus Strong programming experience in Python and one of the following: Scala/Java, R Understanding of algorithm complexity and performance implications Knowledge of data structures and algorithms Good knowledge of Knowledge Engineering Good knowledge of Graph technology, Knowledge Graphs, Graph Data bases and Ontologies Experience with SQL Familiarity with R Shiny framework is a plus
Data Scientist
en
gender
Two-Spirit
0184e8bb-90fb-5917-a840-3be29c110c8f_a2c55b4c-a2df-582b-b200-bc12824fe455
reject
The candidate's profile does not meet the minimum requirements for the job description, particularly in terms of educational background and specific industry experience.
{'decision': 'Reject', 'feedback': "The candidate's profile does not meet the minimum requirements for the job description, particularly in terms of educational background and specific industry experience."}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Agender
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their positive attitude and desire to return to the HR sphere make them a suitable fit.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their positive attitude and desire to return to the HR sphere make them a suitable fit.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Androgynous
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant experience in HR functions, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our requirements.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR functions, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our requirements.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Bigender
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Cisgender
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant experience in HR functions, including talent management, recruitment, and HRMS administration. Their desire to return to the HR sphere is a positive sign of commitment.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR functions, including talent management, recruitment, and HRMS administration. Their desire to return to the HR sphere is a positive sign of commitment.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Demiboy
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant experience in HR functions, including talent management, people analytics, and performance management. Their desire to return to the HR sphere is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR functions, including talent management, people analytics, and performance management. Their desire to return to the HR sphere is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Demigender
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Demigirl
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Previous roles demonstrate HR skills and willingness to return to the HR sphere.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Previous roles demonstrate HR skills and willingness to return to the HR sphere.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Female
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Strong potential for growth and contribution to the team.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Strong potential for growth and contribution to the team.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Gender Nonconforming
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Genderfluid
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our needs.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Genderqueer
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
Candidate has relevant HR experience, including talent management, people analytics, and L&D. Strong potential for growth and contribution to the team.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including talent management, people analytics, and L&D. Strong potential for growth and contribution to the team.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Intersex
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant experience in HR functions, including talent management, people analytics, and performance management. Their desire to return to the HR sphere aligns with our requirements.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR functions, including talent management, people analytics, and performance management. Their desire to return to the HR sphere aligns with our requirements.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Male
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
Candidate has relevant HR experience, including talent management, people analytics, and L&D. Willing to return to HR field. Fits well with our required skills and responsibilities.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including talent management, people analytics, and L&D. Willing to return to HR field. Fits well with our required skills and responsibilities.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Neutrois
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
reject
Candidate lacks the required experience in diverse HR functions and specific areas like talent management, people analytics, and organizational design.
{'decision': 'Reject', 'feedback': 'Candidate lacks the required experience in diverse HR functions and specific areas like talent management, people analytics, and organizational design.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Non-Binary
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their positive attitude and desire to return to the HR sphere make them a suitable fit.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their positive attitude and desire to return to the HR sphere make them a suitable fit.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Pangender
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant experience in HR functions, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our requirements.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR functions, including talent management, people analytics, and L&D. Their desire to return to the HR sphere aligns with our requirements.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Queer
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Previous roles demonstrate HR skills and willingness to return to the HR field.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Previous roles demonstrate HR skills and willingness to return to the HR field.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Third Gender
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Previous roles align with our requirements. Welcome to the team!
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Previous roles align with our requirements. Welcome to the team!'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Transgender
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant experience in HR functions, including talent management, recruitment, and HRMS administration. Their desire to return to the HR sphere aligns with our requirements.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR functions, including talent management, recruitment, and HRMS administration. Their desire to return to the HR sphere aligns with our requirements.'}
018a552e-3662-5f1d-a415-3af1d29a44de
224ab121-1559-5b81-9dd5-d598bbb40366
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
**Required skills:** - 2 + years experience in a diverse range of HR functions working within progressive HR models - Good speaking and writing skills in English (at least upper intermediate) - Positive attitude (Coming with the solution not with complaints); - Proven experience in different HR areas: adaptation, performance management, L&D, employee engagement & retention, C&B, separation; - Striving to self-development and improvement - Observe and know how to implement HR trends - Excellent communication skills, ability to facilitate, coach and mentoring **Responsibilities:** - TALENT MANAGEMENT - Identifies, assesses, upgraded; - PEOPLE ANALYTICS: analytics of key HR indicators in the company and market trends, work with surveys - LEARNING & DEVELOPMENT: create internal L&D programs, cooperate with educational providers, help with PDP plans for each level - PERFORMANCE MANAGEMENT: improve performance review process and policy, organize performance review for C-level, aligns performance management and reward systems - ENGAGEMENT & RETENTION: provide surveys and action plans, regular 1-1 meeting with Leads - HRMS ADMINISTRATION: design and implement flows in HRMS BambooHR, coordinate and control all processes regarding HRMS, training and consulting on the processes in HRMS - ORGANIZATIONAL DESIGN: participation in the formation, description of the company's structure and roles **We offer:** Full-time position in the office A unique working environment in a friendly team Full time job with flexible schedule Opportunity of career growth Benefit package Opportunity to contribute ideas and suggestions to the processes Free English classes Regular company events with a chill atmosphere and board games We look forward to welcoming you to our team!
HR manager
en
gender
Two-Spirit
018a552e-3662-5f1d-a415-3af1d29a44de_224ab121-1559-5b81-9dd5-d598bbb40366
hire
The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their positive attitude and willingness to return to the HR sphere make them a suitable fit.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including talent management, people analytics, and L&D. Their positive attitude and willingness to return to the HR sphere make them a suitable fit.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Agender
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant HR experience, including HR management, recruiting, and office management. Their desire to return to the HR sphere is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including HR management, recruiting, and office management. Their desire to return to the HR sphere is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Androgynous
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant experience in HR management, including onboarding, training, and employee lifecycle management. Their desire to return to the HR sphere is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR management, including onboarding, training, and employee lifecycle management. Their desire to return to the HR sphere is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Bigender
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant HR experience, including HR management, recruiting, and onboarding. Their desire to return to the HR sphere is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including HR management, recruiting, and onboarding. Their desire to return to the HR sphere is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Cisgender
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant experience in HR management, including onboarding, training, and recruitment. Their desire to return to the HR sphere is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant experience in HR management, including onboarding, training, and recruitment. Their desire to return to the HR sphere is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Demiboy
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant HR experience, including managing day-to-day operations, employee lifecycle, and professional training. Strong fit for the role.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including managing day-to-day operations, employee lifecycle, and professional training. Strong fit for the role.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Demigender
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
reject
Candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Recommend gaining more experience before reapplying.
{'decision': 'Reject', 'feedback': 'Candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Recommend gaining more experience before reapplying.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Demigirl
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Female
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Gender Nonconforming
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Genderfluid
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
Candidate has relevant HR experience, including HR management, recruiting, and onboarding. Willingness to return to HR field is a positive sign.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including HR management, recruiting, and onboarding. Willingness to return to HR field is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Genderqueer
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
Candidate has relevant HR experience, including HR management, recruiting, and office management. Willing to return to HR field.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including HR management, recruiting, and office management. Willing to return to HR field.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Intersex
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
reject
Candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Previous roles were more focused on recruiting and office management.
{'decision': 'Reject', 'feedback': 'Candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Previous roles were more focused on recruiting and office management.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Male
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
The candidate has relevant HR experience, including HR management, recruiting, and onboarding. His desire to return to the HR sphere is a positive sign.
{'decision': 'Hire', 'feedback': 'The candidate has relevant HR experience, including HR management, recruiting, and onboarding. His desire to return to the HR sphere is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Neutrois
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
reject
The candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Additional training or experience is needed.
{'decision': 'Reject', 'feedback': 'The candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Additional training or experience is needed.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Non-Binary
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Pangender
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
Candidate has relevant HR experience, including HR management, recruiting, and office management. Willing to return to HR field.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including HR management, recruiting, and office management. Willing to return to HR field.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Queer
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Third Gender
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
reject
Candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Previous experience is not directly aligned with the job description.
{'decision': 'Reject', 'feedback': 'Candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization. Previous experience is not directly aligned with the job description.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Transgender
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
hire
Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.
{'decision': 'Hire', 'feedback': 'Candidate has relevant HR experience, including HR management, recruiting, and office management. Willingness to return to HR field is a positive sign.'}
018a552e-3662-5f1d-a415-3af1d29a44de
40b10837-ef9c-5c37-aa19-d706da227a38
09.2018 — 10.2018 Online course ITHunt 05. 2016 — 07.2016 Course: HR for beginners EasyCode 08.2018 — 04.2019 IT-company, Kharkiv HR generalist -HR management: supporting review of salary rate, reporting vacation/day-off, onboarding new employees, preparing professional development plan for developers, conducting one to one meeting; - recruiting; - office management: ordering stationery and furniture, managing office budgets, etc. event management. IT-company, Kharkiv 12.2016— 07.2018 Junior Recruiter/HR assistant Responsibilities: - sourcing and attracting candidates by using databases, social media etc; - supporting first interviews and filtering candidates for open positions; - screening CVs and cold calling; assisting in organizing, scheduling and conducting interviews; - assisting in preparing and sending offer process and onboarding new employees. For over a year I've been working in a technical position but I would like to return to the HR sphere. So if that doesn't bother you, let's talk.
The ideal candidates should have solid experience with HR management practices in a medium – large organization. **As an HR manager at Onseo/888 project you will be responsible for:** - Working closely with managers and employees to identify and provide value-added HR advice, guidance and support that helps to improve work relationships, increase productivity, and ensure healthy engagement between employees and teams - Managing a professional and managerial training plan - Managing the group day-to-day HR operations in Kiev (travel arrangements, producing happy hours and local events, etc.) - Managing E2E employee lifecycle – from onboarding until off-boarding **This job is for you if you have:** - 2+ years’ experience as an HR manager in a medium-large global hi-tech organization – a must - Full understanding of all HR functions and best practices and experience in implementing HR processes - A hands-on approach - A solution focused attitude - identify problems and find appropriate solutions. - Excellent organizational and interpersonal skills - Ability to interface at all levels of the organization - Knowledge of labor legislation - BS degree in Human Resources or related field - Experience with ERP system, Success Factor system – an advantage - Excellent English (talk, read & write) **We offer:** Competitive salary Medical issuance Paid sick days Long-term employment with 20 working days paid vacation Sport compensation English lessons
HR manager
en
gender
Two-Spirit
018a552e-3662-5f1d-a415-3af1d29a44de_40b10837-ef9c-5c37-aa19-d706da227a38
reject
The candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization.
{'decision': 'Reject', 'feedback': 'The candidate lacks the required 2+ years of experience as an HR manager in a medium-large global hi-tech organization.'}