nathansutton/data-science-job-descriptions huggingface dataset:
Senior Data Scientist I Nlp at Evisort

Our mission is to change the way business deals get done. In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their company’s superhero.

We create cutting-edge AI technology that makes contracts searchable and simplifies deal-making processes to supercharge business while helping to reduce costs and manage risk. We automate manual work, facilitate collaboration, and streamline operations so businesses can make better decisions.

By reimagining legal documents, we take the stress out of contract management, empowering brilliant people to do their best work while fueling exponential growth.


The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a senior data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.


What You’ll Do: 

Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform.
Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction.
Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment.
Stay up to date with emerging technologies in GenAI/LLM field and recommend improvements to existing models/ designs
Own design, implementation, and deployment of your models and see them deliver business impact.
Mentor other team members and continuously further the Data Science organization.
Guide design, architecture, tooling, and processes at the organization level.



Skills/Qualifications:

3+ years of ML experience in the industry, startup experience is a plus
3+ years working with deep learning in NLP, additional experience with Computer Vision is a plus
Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch)
Experience using distributed processing architecture and ML/ Data platforms (e.g., AWS Sagemaker, Databricks, Spark, Kubeflow, etc); building experience is a plus
Ability and motivation to stay up to date with the very fast-moving NLP space
Able to communicate results clearly to non-technical audiences with a focus on driving impact
A strong team player but still a self-starter who thrives in a fast-paced, high-growth startup environment
Someone who flourishes when given responsibility and a sense of ownership
BA/BS degree or higher from an accredited university


Evisort is an E-verify employer.  Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.
Data Scientist Optimization at Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Senior Data Scientist with Optimization experience (in particular, integer programming, mixed integer programming) and solid knowledge of reinforcement learning, deep learning, and strong coding capabilities. This person will be responsible for writing complex production-level codes. Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science      experience with robust Optimization experience (specifically, integer programming, mixed integer programming) and deep Reinforcement Learning knowledge is a must.   Strong statistics foundation and knowledge of      statistical packages. Highly proficient with Python and SQL and can write complex Python codes and SQL queries.   A solid knowledge of deep learning, quick      learner, and a strong coding capability. This person will be responsible      for writing complex production-level codes.   Hands-on experience building models is a must. A simulation experience is plus. Retail/CPG or Supply Chain experience is a must.   Exceptional communication and collaboration skills to understand      business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Data Science And Analytics Manager Streaming Product at Netflix

Streaming entertainment is at the heart of Netflix. Members want a seamless, immersive Netflix experience, and we deliver it with a symphony of systems working together behind the scenes. Content files must be encoded, distributed to our content delivery network, then adaptively streamed by the wide range of devices our members use to watch the content they love. Our data science and analytics team takes a holistic approach to measuring and improving these systems and their ultimate impact on Netflix members. As we add games, live content, and ads into the Netflix product, we’re asking new questions about how the streaming product should work and how to best serve our members. Our end goal is to drive the quality of the entertainment experience higher and higher for each of our global members.
What you'll do
We’re looking for an accomplished data science and analytics leader for the core streaming andencoding business areas. You'll lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics, experimentation, and machine learning. You'll partner with engineering teams to optimize the Netflix streaming product with an eye toward scaling analytics, access to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to Netflix challenges. Experimentation is a critical part of our DNA, so you’ll contribute to smarter, faster, easier friendly ways to experiment.
You have
Experience hiring and leading high-caliber, data-focused teams with diverse technical strengthsExperience creating and fostering an inclusive team cultureExperience partnering with technical engineering or product teams Demonstrated strength for applying statistics and experimentation to solve problemsStrength in independently finding opportunities and executing on science and analytics challenges for maximum business impact 
Netflix culture
Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for roles in this area of Netflix is typically $310,000 - $1,200,000.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn morehere.
Data Scientist Resilience Modeling at One Concern

One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to increase the global community's resilience to natural hazards. Founded at Stanford University, One Concern enables cities, corporations, and citizens to embrace a disaster-free future through AI-enabled technology, policy, and finance. By combining data science and natural phenomena science we are pursuing a vision for planetary-scale resilience, where everyone lives in a safe, equitable, and sustainable world.

One Concern is growing rapidly and we are looking for a passionate and motivated Data Scientist for Resilience Modeling to join our team. 


What you will do

Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing machine learning models
Work with and support domain experts and data scientists in different hazard products
Demonstrate up-to-date machine learning skills and apply this to the development, execution, and improvement of action plans
Assess the potential usefulness and validity of new statistical approaches and data sources.
Identify key problems in prediction models and propose innovative solutions
Formulate your own problems as the problem might not always be defined for you
Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights



Must-haves

Ph.D. (preferred) or Master’s degree in Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Science or related field 
Strong background in machine learning, statistics, and quantitative analytics
Experience in developing machine-learning models and/or statistical/probabilistic models 
Proficient in Python



Good to have

Domain knowledge of natural disasters or risk modeling.
Strong publication record


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Scientist I at Virgin Pulse

Data Scientist I
Engineering
Remote, United States

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Join Virgin Pulse Today!
Virgin Pulse is the #1 health and wellbeing navigation platform. Our mission is to change lives for good. We empower 14 million users to get and stay healthy every day by making better choices.
We are looking for a Data Scientist I to join our team who embodies our values: People Matter, We Deliver, One Team One Dream, and Grow Forward. By joining us, you will gain access to health and wellbeing resources, an inclusive global network of nearly 2,000 employees, learning development opportunities, and more.
Position Summary 
The Data Scientist supports the organization's efforts to drive personalization and targeted intervention through solid statistical and modeling skill set. A successful candidate will have a desire for continuous learning and strong interpersonal relationship skills.
Gathering, cleaning, transforming, and sampling complex healthcare data.Working with our team of data scientists and engineers to develop and deploy predictive machine learning models.Applying statistical techniques to validate and evaluate model performance, ensuring accuracy and reliability.
Qualifications:
Bachelor's degree in data science, computer science, related field, or equivalent experience Understanding of machine learning algorithms and statistical modeling techniquesProficiency using SQL and relational databases 
Preferred Qualifications:
Interest or experience working with healthcare claims or clinical dataExperience with Snowflake, Python, R, and GitFamiliarity with SAS software, Agile development framework 
No candidate will meet every desired qualification. If you think you can bring value to the role, please apply! Virgin Pulse is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice.   
In compliance with all states requiring pay transparency, the base compensation for this position ranges up to $95,000 annually. Note, salary may vary based on location, skills, and experience. This position is eligible for 10% target bonus, health, dental, vision, mental health, and other benefits. 

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Lead Data Scientist Simulation at Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of simulation and experiment design, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science      experience with simulation and experiment design, modeling coding capability as this person needs to make designs      happen.   Strong statistics foundation and knowledge of      statistical packages. Proficiency with Python and SQL and ability to write      complex Python codes and SQL queries.   A solid knowledge of deep learning, quick      learner, and a strong coding capability. This person will be responsible      for writing complex production-level codes.   Hands-on experience building models is a must. Experience with supply chain/retail is good to have.   Exceptional communication and collaboration skills to understand      business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Data Scientist at Alkymi

At Alkymi, we’re creating products to give everyday business users the power to control the unstructured document data that fuels their business. We believe in giving the same professionals who manually handle document and email data today powerful tools to supercharge their workflows, while allowing them to seamlessly apply their human intelligence where it’s needed most. By doing this, we’re letting our users create a Data Action Layer to power products, deliver outcomes, and generate insights.

Founded in 2017 in New York City, Alkymi works with some of the world’s leading businesses and financial services firms to automate their highest-impact workflows by delivering an unparalleled product experience. We’re laser focused on understanding our customers’ workflows from top to bottom, and building easy-to-use, powerful, tools to meet their objectives. We combine cutting edge data science and machine learning with best-in-class software engineering to delight our users at some of the world’s most demanding and sophisticated businesses.

As we continue to scale, we're seeking a Data Scientist to join our core team.


Required Skills: 

Strong knowledge of Python and general software development skills (source code management, debugging, testing, deployment, etc.).
Strong understanding of text pre-processing and normalization techniques, such as tokenization, and POS tagging.
Ability to design NLP pipelines to meet customer requirements
Familiarity with different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer).
Experience with asynchronous programming is a plus.
Familiarity with deep learning frameworks such as Tensorflow and Pytorch a plus.
Familiarity with computer vision deep learning algorithms a plus (CNN, RCNN)
BS, MS and or PhD in Computer Science, Physics, Mathematics, etc 



Alkymi is creating the data action layer by turning unstructured data into actions. Its product-first approach makes it easy for non-technical users to automate operational workflows for the first time. Leading organizations deploy Alkymi to accelerate decision-making, improve customer satisfaction and empower employees to focus on high-value, rewarding work. 

Alkymi was founded in 2017 in New York City by a founding team from Bloomberg, Two Sigma, and x.ai with backing from Intel Capital, Canaan, Work-Bench, SimCorp, and industry insiders.


Salary Range: $100,000 - $145,000 annually + Equity + Fully Paid Company benefits + 401k + Unlimited PTO

The above compensation referenced represents the expected salary for this career opportunity and is based on Alkymi's good faith belief at the time of posting. Ultimately, in determining your compensation, we'll consider multiple factors including your geographic location, professional experience, market conditions and education/training/skill level.
Senior Data Scientist Reinforcement Learning at Tiger Analytics

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of reinforcement learning, deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field. At least 6+ years of extensive Data Science      experience with Reinforcement Learning, Deep Learning, knowledge in AI,      and DL modeling coding capability as this person needs to make designs      happen.   Strong statistics foundation and knowledge of      statistical packages. Proficiency with Python and SQL and ability to write      complex Python codes and SQL queries.   A solid knowledge of deep learning, quick      learner, and a strong coding capability. This person will be responsible      for writing complex production-level codes.   Hands-on experience building models is a must. Experience with supply chain/retail      forecasting is a must.   Exceptional communication and collaboration skills to understand      business partner needs and deliver solutions. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Data Scientist Ii at Constructconnect

Posting Details



                        Posted:
                        June 21, 2023
                    



                Full-Time
            

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                        Remote - USA

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Job Details
Description
To apply for the Data Scientist II role please click on the iCIMS link below. The link will guide you to ConstructConnect's new Careers page portal.
Data Scientist II in Remote -US | Careers at Remote - US (icims.com)
Please do not apply via UKG, use the link above to submit your application.
Privacy Notice
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Lead Data Scientist Product Growth at Loom

The Role
We’re looking to add a Lead Data Scientist to our growing Product Data Science & Analytics team to help us measure the impact of our Product Growth initiatives and identify opportunities to expand the network of people who use async video at work. In this role you will help the Growth PM team drive initiatives that range from big bets that inflect Loom’s growth trajectory to quick wins that continuously remove friction for our users.
We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
Responsibilities

Be the primary partner for the Product Growth team and collaborate with Product, Engineering and Design to understand growth and optimization opportunities and measure impact of initiatives
Provide data insights through A/B testing, dashboards, user behavior analyses and ad-hoc requests
Owns and drives strategic analysis to guide product roadmap and develop a holistic point on view on product direction
Design and develop core business metrics, creating insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
Lead A/B experiments from the Data side by supporting experiment design, tracking, implementation and owning the final analysis and readout
Build analytics plans for new products and features, helping the Product Growth team understand which metrics need to be measured and which events need to be tracked
Inform future experimentation design and roadmaps by performing exploratory analysis to understand user acquisition and activation behavior
Lead and mentor team members with processes and analytical and technical expertise for executing experiments, building pipelines and answering open ended business questions

What We're Looking For

7+ years of experience in an analytics role turning data into insights and recommendations
Strong analytical and communication skills with the ability to synthesize insights into compelling stories
Experience with the SaaS customer lifecycle from acquisition to retention
Experience with designing and analyzing experiments
Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets
Experience with a Business Intelligence tool (e.g. Tableau or Mode)
Experience with a statistical scripting language (e.g. R or Python) is a plus
Experience with ETL tools such as Airflow or DBT is a plus
Experience in data modeling and ETL development is a plus
Experience collaborating with multiple business functions and stakeholders to develop metrics and key insights
A Bachelor’s Degree in a quantitative field or higher
Data Scientist at Marley Spoon

Marley Spoon is the new way to cook. We bring delightful, market fresh and easy cooking back to the people while building a sustainable supply chain for a waste-free world. We’re a well-funded and publicly listed company (ASX: MMM). We operate across 3 continents and in 8 countries with over +900 employees worldwide. Being passionate foodies, we are using technology to reinvent the global food supply chain to reduce food waste. In the end, it's simple: We started Marley Spoon because we love cooking! We now have an exciting opportunity to bring a Data Scientist on board our team, working across all brands and territories. This is a once-in-a-lifetime opportunity to be part of the food revolution and join our food-tech start-up as we take our growth to the next level. As a part of the team, you'll be responsible for: Building a range of analytical models (Prescriptive, Predictive, Diagnostic, Descriptive) Building predictive and segmentation models (e.g. RFM segmentation, churn prediction, sentimental analysis, recommendation engines, next best offer, propensity scoring models, etc.) making use of relevant data from multiple data sources Deploying, maintaining and improving the models using various types of algorithms and techniques Mine data from multiple sources and to build/enhance stored procedures/functions Providing deep-dive analytical support for the business  MSc or Ph.D. in a quantitative discipline: Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or related fields Experience in a Data Science related role Hands-on experience in building segmentation and prediction models with large datasets using various algorithms and techniques (decision trees, logistic regression, neural networks, clustering, etc.) Hands-on experience in Python and common numerical and ML packages (NumPy, SciPy, Scikit-Learn, Pandas, Keras, TensorFlow, PyTorch, and PySpark) Good software engineering practices e.g. unit tests, logging, CI/CD pipelines, software patterns and experience developing production software Sound knowledge of classic prediction processes (classification, regression, ranking, time series), and inferential statistics (tests, interpretation of models) Experienced dealing with large amounts of data and knowledge of big data technologies (e.g. SageMaker, AirFlow, Snowflake, Looker)  Autonomy, Impact, Collaboration, Learning & Growth Being part of a profitable company in full-blown scale-up phase - offering immense opportunities for personal & career growth Flexible working hours, a hybrid work environment and/ or full remote Spend 5% of your working time on personal learning and development Conference / Training budget Food allowance of 7.62 euros per worked day Health insurance to all employees Company training in different areas Company equipment Company Events Extra Annual leave days (total 24)
Data Scientist at Sensor Tower

Role Summary:
Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on. 

We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem. 

We are a remote first company and at this time are only able to hire folks who reside in the following states: California, Colorado, Florida, Iowa, Massachusetts, Illinois, New Mexico, New York, Oregon, Texas and Washington.


What you will be focusing on

Prototype machine learning models in Python or Ruby
Work with MongoDB and analyze query performance to ensure calculation efficiency
Write tests for the implementation of machine learning models
Collaborate with back-end engineers to understand the raw data being collected
Collaborate with front-end engineers to create data visualizations for both external and internal customers
Present results of various data analysis



Experience which will be beneficial

Degree in mathematics, statistics, or computer science
Experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence
Ability to write code that is ready for production (Python and Ruby preferred)
Experience with adjusting data for bias
Ability to communicate effectively with technical developers and non-technical marketing business partners
Ability to critically analyse given data, ask probing questions, and perform own research
Knowledge of statistical modeling techniques



About Sensor Tower

Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital.

Why Sensor Tower?

Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! 

Our benefits include:
 - Flexible time off so employees can shape their time away from work.
 - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
 - Monthly internet stipend and a one-time $500 home office stipend.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.

#LI-Remote
Manager Of Computer Vision at Overjet

Overjet is on a mission to improve oral healthcare for all. 
Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care. 
All of this is made possible by the industry leading AI technology built by our Machine Learning (ML) team. We’re looking for a Manager of Computer Vision to join us in our journey to build impactful and bleeding edge Dental AI and research.
 
What you will do

Lead a team of talented AI/ML scientists who like to tackle hard Computer Vision and NLP problems in the dental domain and productionalize it.
Have the technical expertise to understand and support scientists when making technical decisions, including choosing model architectures and techniques, and labeling and training strategies .
Have the technical capacity to partner with tech leads and be comfortable diving into the fray to help drive resolution in the case of incidents.
Take responsibility for the team’s short-term and long-term strategy. Define the team's roadmap, success metrics, and priorities in close collaboration with other engineering teams and multi-functional partners.
Own your team’s deliverables and ensure we develop scalable, repeatable AI/ML solutions and rapidly iterate on them to delight our users and customers.
Be an aggressive source of AI/ML talent and be comfortable closing high potential candidates from diverse backgrounds.

Responsibilities

Develop and maintain scalable machine learning pipelines for regulated and non-regulated applications
Implement and maintain metrics for tracking ML models performance.
Design and develop microservices and APIs related to data ingestion, machine learning, and product quality.
Seeing through a project from conception to finished product.
Meeting both technical and consumer needs.
Provide leadership and Mentorship to other team members 
Develop and maintain Good Machine Learning Practice (GMLP)

 
Qualifications

2+ years of experience managing ML Teams
5+ years of production experience
2+ years of experience with Google Cloud Platform (GCP) or AWS
Strong knowledge of Computer Vision in some combination of Transformer, CNN, Self-supervised learning, Representation learning, Multi-modal learning and other promising areas. 
Recent publications in leading industry conferences like NeurIPS, CVPR etc or medical imaging specific conferences is a strong plus. 
Computer science or engineering background with Software Engineering experience; MS or PhD in machine learning or equivalent work experience a plus. Computer vision experience and/or medical imaging experience is a strong plus.
Experience building auto-scaling ML systems
Experience building tools for ML scientists
Experience with database systems including BigQuery, Postgres, MongoDB
Strong programming skills in Python
Senior Data Scientist at Angi

The Team and Role 
Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to use state-of-the-art machine learning techniques and open-source big data processing tools.
As a Senior Data Scientist, you will be responsible for:

Creating mathematical and data driven solutions for difficult problems at scale
Developing, maintaining, and monitoring the performance of production quality code
Becoming the domain expert for one business segment in the Angi organization
Communicating project results and insights with stakeholders across Angi

Team members in this role are successful when they have a Master’s degree or PhD in Statistics, Applied Mathematics or similar quantitative field and/or 3+ years of experience in:

Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning
Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver transformation through data
Developing predictive models and analysis using R and/or Python
Interacting with data using SQL
Deep knowledge of machine learning and data mining algorithms
Bonus points if you’ve worked with ML frameworks like Tensorflow and have familiarity with Git, Docker or AWS

Compensation & Benefits: 

The salary band for this position ranges commensurate with experience and performance. Compensation may vary based on factors such as cost of living
This position will be eligible for a competitive year end performance bonus & equity package. 
Full medical, dental, vision package to fit your needs 
Flexible vacation policy; work hard and take time when you need it 
Pet discount plans & retirement plan with company match (401K) 
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote#BI-Remote
Research Scientist at Dreambox

About the Role:
As a Research Scientist, you will join a team of researchers developing and iterating on core products and features.  We work closely with Product Management, Engineering, and Design to ideate, execute, and iterate on product functionality to support personalized and accelerated learning.  The ideal candidate has foundational research experience to make meaning out of large-scale, raw data; has an understanding and ability to apply a breadth of methodological tools (ML a plus) to solutionize product needs; and has a nimbleness in working across a variety of research needs to support product development.
What You’ll Be Doing: 

Research projects will support a range of company goals, including developing new product features, understanding impacts associated with changes or enhancements to the product, and evaluation of outcomes associated with external student proficiency.
Independently design and implement formative and summative research on assessment and growth of mathematical proficiency.
Collaborate on the design and analysis of experiments (i.e. A/B testing or randomized controlled trials) to evaluate the impact of new product features and learning pathways.
Conduct analyses of existing data from our extensive data warehouse in collaboration with others on the Research team in support of critical product development initiatives.

About You:

Master’s Degree (PhD preferred) in Statistics, Data Science, Psychology, Education, or related quantitative field or 2-3+ years of relevant experience
Familiarity with Psychometric Techniques or Techniques Associated with Other Relevant Areas of Expertise
Strong knowledge of SQL, Python/R, and data warehouse technologies required
Strong communication skills of conveying technical information to non-technical audiences
A willingness to explore new alternatives or options to solve data issues, and utilize a combination of research best practices, methodological innovations and your experience to get the job done
Experience with Tableau or other data visualization tool a plus
Experience in education or product research beneficial but not required
Must be legally authorized to work in the United States

#BI-Remote #LI-Remote
Analyst Ii Data Science Machine Learning Innovation at Liberty Mutual

The world is constantly changing, and the way people move, live and conduct business is evolving at a rapid pace. This presents an opportunity to expand and grow our offerings, while also reinventing them for the future of mobility, shelter, and commerce.  Solaria Labs is a global team that explores how trends will shape and shift the future and partners with teams across Liberty Mutual to develop new innovative products to protect our customers in a rapidly changing world. (www.solarialabs.com)
The Role 
As a Data Scientist in Solaria Labs, you will be part of a team working on  challenging problems by developing innovative solutions by using state-of-the-art machine learning techniques related to computer vision, natural language processing (NLP), and Human-in-the-loop algorithms, among others.
Responsibilities Include
Translate product ideas into well-posed data science challenges, and solve them
Design and deploy Machine Learning (ML) systems backing our products, including computer vision, NLP, and others
Translate and champion our ML capabilities for non-technical audiences
Participate in the broader ML community to stay current with the latest techniques and software

Job Specifications:
Reference:  2022-48436
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$113,400.00-–-$161,600.00-/-Year
Education Level: 
 Travel: As Needed
Assistant Director Advanced Analytics at Liberty Mutual

Advance your Analytics career at Liberty Mutual Insurance- A Fortune 100 Company!
The Operational Analytics department within GRM U.S. Insights & Solutions is actively searching for a highly motivated Asst Dir, (STP), Advanced Analytics to join the team with an initial focus on Operations Support Analytics. In the near term, this position will be the analytical lead for operational teams that provide support throughout the GRM US value chain. This role will also serve as a point of contact to help manage and coordinate all the analytical work with multiple stakeholders in the Operations function. This person will be required to frame and answer operational and strategic questions from senior management and executive leadership. The ideal candidate possesses advanced analytical abilities and will be able to work collaboratively & independently.
Responsibilities
Develops analyses based on complex data for a particular business unit/function.
Quantifies the competitive performance of the business, evaluates potential operational changes, and designs new approaches and methodologies to solve business problems or improve analytical efficiency.
Produces meaningful observations and recommendations through synthesizing data from internal and external sources. Utilizes advanced statistical techniques. May regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools.
Leads own work stream and may manage multiple research projects of moderate to high complexity.
Conducts modeling/analytical work which directly impacts profitability, growth, and/or customer satisfaction outcomes.
Presents findings / recommendations and leads discussions with senior leadership (VP/SVP) at the department or functional level.
Serves as a resource to less experienced analysts
Job Specifications:
Reference:  2022-49103
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$113,400.00-–-$145,000.00-/-Year
Education Level: 
 Travel: As Needed
Data Scientist Enterprise Marketing at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Marketing Analytics team has spent many years blazing new trails to help Atlassian's most important growth decisions. We connect the dots from data and analytics to how our go-to-market teams impact our growth trajectory. We are dedicated to an agile methodology that enables decisions, while still ensuring quality work. We also know the importance of validating assumptions in our data, and we use different types of testing to prove those assumptions. For us, it is all about allowing Atlassian to grow by delivering data in the right way, at the right time, to partners across the company
We're looking for an analyst with outstanding technical skills to provide insights on our enterprise-focused go to market efforts across marketing and sales.
What you'll do
Create analytical insights from our customer and marketing data to bring more engaging go-to-market strategy. Example topics include segmentation, lead prioritization, customer lifecycle strategy, and more.Lead work with teams like Sales Operations, Marketing and IT to design metrics and manage performance of a unique go to market model that blends B2B sales best practices with B2C and self-serve.Join a team of analysts and play an active role in team collaboration and culture.Partner with go to market leadership across marketing and sales to bring data to the forefront of our decisions.Create raw data and analysis into well-written content
Your background
3+ years of experience in analytics, data science, or other quantitative fieldsAdvanced proficiency in SQLExperience in B2B marketing or sales analytics and experience working with a field sales teamExperience collaborating with senior management and translating insights into actionsProficiency in at least one analytics and visualization tool such as Tableau, Looker, Mode, Plotly, etc.
Senior Marketing Data Scientist Monetization at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is hiring an experienced data scientist for the Small/Medium Business Monetization Data Science team. This team sits within the Enterprise Go-To-Market team and is a group that creates monetization programs and strategies to help Atlassian products unleash the potential of every small/medium business team. Our team focuses on the important moments of a small/medium business's discovery of and journey with Atlassian products. We uncover and guide data-informed strategies across Atlassian's CLM organization.
What you'll do
Become the subject matter expert in Atlassian's small business monetization strategy across our portfolio of products.Work with Marketing Leadership and partners to help guide marketing strategy.Apply causal inference and econometric methods to measure marketing campaign strategies and programs.Coordinate different facts and findings into powerful narratives that have the broadest possible application within Atlassian.Collaborate with numerous analytics and data science teams in addition to partnering with marketing, sales and product managers.Build measurement methodologies and capabilities that have broad application across Atlassian.Promote evidence-based decision-making by partnering with important decision makers and senior leadership.Identify and improve the execution of the full Analytics & Data Science team through standardization of process, authoring new practices, mentorship and cultivation of new expertise.Join a growing team of analysts and play an active role in team collaboration and culture.
Your background
5+ years of analytics experience either in technology, engineering, consulting or other relative work experience.Experience within product, marketing, growth, or sales analytics and data science teams.You can write SQL with a preference for well-architected data models, optimized query performance.You are proficient in at least one programming language (e.g. Python, R) and a visualization and business intelligence platform (e.g. Tableau, Looker, Mode).Build incrementally to help support a moving organization.You use data to help go-to-market teams influence company-level outcomes.