Lead Data Scientist

ABOUT THRIVE MARKET

Thrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification.

Our Platform team is growing, this time, we are seeking to add a high-impact Lead Data Scientist to our  Data Science team. This role responsible for leading a team of data scientists and overseeing data-driven projects within Thrive Market. You'll have the opportunity to build data science the way you think it's intended for our subscribers needs.

At Thrive, we've created a transparent, data-centric environment from the beginning and we'll need your help applying algorithms, machine learning, AI, and other tools across our business; working cross-functionally with engineering, marketing, merchandising, and operations. All in efforts of unlocking our full potential!

RESPONSIBILITIES:

Provide leadership, guidance, and mentorship to a team of data scientists, including task assignment, project management, and performance evaluation
Develop and implement advanced analytical models, algorithms, and statistical methods to extract insights and solve complex business problems. This includes data preprocessing, feature engineering, predictive modeling, machine learning, and deep learning techniques
Collaborate with cross-functional teams, such as business executives, product managers, and engineers, to understand business goals and define data-driven strategies. Identify opportunities where data science can drive business value and provide recommendations to improve products, processes, and customer experiences
Explore and analyze large volumes of structured and unstructured data to identify patterns, trends, and actionable insights
Present findings to stakeholders using data visualization tools and techniques, making complex concepts understandable to non-technical audiences
Stay up to date with the latest advancements in data science, machine learning, and artificial intelligence technologies
Provide guidance and expertise in selecting appropriate tools, frameworks, and programming languages to support data science projects
Foster a collaborative work environment, promoting effective communication and knowledge sharing within the team and across departments
Effectively communicate complex technical concepts to non-technical stakeholders, enabling them to make informed decisions based on data insights
Define project objectives, deliverables, and timelines; Monitor project progress, identify and mitigate risks, and ensure timely delivery of high-quality results
Manage resource allocation and prioritize tasks to meet business objectives
Encourage a culture of learning and innovation within the team
Stay abreast of industry trends and emerging technologies, and drive the adoption of best practices to enhance the team's capabilities and overall performance
Document methodologies, assumptions, and results of data science projects
Prepare clear and concise reports and presentations summarizing findings, insights, and recommendations for various stakeholders, including senior management
Convey concise and actionable stories through data to different stakeholders of the company
Apply advanced analytical techniques to extract insights from large and complex datasets to drive business decisions and strategies

QUALIFICATIONS:

M.S. or Ph.D degree in statistics, computer science, operations research, computational physics, engineering, or related field
At least 6+ years of data science experience in eCommerce, SaaS, or other digital based businesses
Strong understanding of online advertising, A/B testing, cohort analysis, conversion optimization, customer segmentation, etc.
Experience with supervised and unsupervised data mining algorithms like deep learning, support vector machines, boosting, LDA, and logistic regression, etc
Proficiency in at least one high level programming language like Python / Java / C++.Experience with large scale data analysis in Spark, Pandas or Hive is a plus
Experience using data visualization frameworks such as Matplotlib, Domo/Tableau or related programs is a plus
Good critical thinking and problem solving skills
Effective interpersonal and communication skills - we work cohesively and want to bring in folks who seek to drive unity
Ability to independently lead and execute projects
Curious, hungry, proactive, results-oriented, data-driven, and thrives in fast-paced, team-oriented environments

BELONG TO A BETTER COMPANY:

Comprehensive health benefits (medical, dental, vision, life and disability)
Competitive salary (DOE) + equity
401k plan
Flexible Paid Time Off
Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
Stocked kitchen in our Thrive Market Home Office with Thrive Market products
Dog-Friendly Office
Yoga, meditation and other weekly events for mindfulness
Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform
Free Thrive Market membership and discount on private label products
Casual atmosphere and great people to work with

We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process.

Feeling intimidated or hesitant about applying because you don’t meet every requirement?  Studies prove that women and people of color are less likely to apply for jobs if they do not meet every single qualification. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we sincerely encourage you to apply anyways! As the great Los Angeles King Wayne Gretzky said, “You miss 100% of the shots you don’t take.” Take the shot!

Thrive Market is an EOE/Veterans/Disabled/LGBTQ employer

At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree!

If you need assistance or accommodation due to a disability, please email us at eoe@thrivemarket.com and we’ll be happy to assist you.

Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com.

© Thrive Market 2023 All rights reserved.

JOB INFORMATION:

Compensation Description - The base salary range for this position is $160,000 - $200,000/Per Year.
Compensation may  vary outside of this range depending on a number of factors, including a  candidate’s qualifications, skills, competencies and experience, and geographic location.
Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!

#LI-DR1


Staff Data Scientist

Are you ready to rise to the challenge of climate change with the team that will deliver? Form Energy is a U.S. technology and manufacturing company that is developing and commercializing pioneering energy storage technologies to enable the electric grid to run on 100% renewable energy, every day of the year.

Supported by leading investors such as Breakthrough Energy Ventures, ArcelorMittal, TPG Rise, MIT’s The Engine, and others, we share a common belief that low-cost, multi-day energy storage is the key to enable tomorrow’s zero carbon electric grid. Driven by our core values of humanity, excellence, and creativity, we are deeply motivated and inspired to create a better world. We need talented, hardworking individuals who share our goal of tackling the challenge of climate change. Do you want to work with us today to build a better tomorrow?

Role Description
The Analytics team within the Software & Analytics group at Form Energy is focused on powering Form's commercial and strategic decisions with analytics insight. We are seeking to hire two Staff Data Scientists to build our understanding of operational and performance requirements for our technology and how it can maximize our value in the future electricity system.

In these roles, you will work either on battery operation or battery R&D data in collaboration with various teams in Form Energy, including our Software, Systems, Battery Product, Cell Development, and Product Management teams. Both Staff Data Scientist roles are new, part of a growing Software & Analytics group, and either role can be based remotely. This is an exciting opportunity to help shape and be part of a quickly growing and fast-moving company with breakthrough technology and an incredible mission!

What You'll Do:

Working closely with Battery Products, Cell Development, and other teams at Form to:
Role 1: Build data-driven models to analyze and predict battery metrics critical to research and development undertaken by various teams at Form Energy
Role 1: Maintain specific datasets to be used for analysis development/algorithm development/evaluation. Use data engineering best practices to enable seamless access to analysis products by various teams at Form Energy for analysis and monitoring of battery performance
Role1: Lead meta-analysis of the vast cell test data being collected to understand drivers of cell performance, degradation mechanisms, and other cell operation characteristics
Role 2: Using the vast dataset of battery operations under various scenarios run by the Analytics team, understand the range of operational requirements for our product along with the contributions of each of these operations to our battery value
Role 2: Assess the battery performance data and help define and verify requirements of quality and reliability under various operational scenarios
Role 2: Integrate system reliability modeling with grid reliability modeling
Role 2: Build ML models for real-time forecasts unique to our technology for dispatch decisions
Interface with stakeholders across the various teams at Form to define analysis goals, and execute and communicate results.

What You'll Bring:

Degree in Material Science, Mechanical Engineering, Electrical Engineering, Operations Research, or a related field. E.g., a B.S. with 7+ years of industry experience, or MS/MSE with plus three to five years of industry experience, or a Ph.D. with some industry experience
Experience working with large datasets, knowledge of tools such as Python, Snowflake, SQL, or similar programming and database tools to perform complex analysis and data visualizations
Role 1: Experience in semi-empirical model development, analysis of large datasets, building statistical and machine learning models, time-series analysis, familiarity with testing and validation of electrochemical systems ideally at a technology company in the battery sector or a combination of graduate schooling and experience
Role 2: Experience in analysis of large datasets, building machine learning models for time-series forecasting, familiarity with battery operations ideally at a technology company in the power sector, or a combination of graduate schooling and experience.
Excellent communication, organizational, and collaboration skills with the ability to convey information and content easily and effectively to stakeholders and customers
Passion for our mission, sustainability, and climate change

The California salary range for this role is $189,165 - $233,345. The Massachusetts salary range for this role is $180,940 - $223,200. The Pennsylvania salary range for this role is $164,490 - $202,910. The range listed is what we reasonably expect to pay for this role at the time of this posting. We may ultimately pay more or less than the posted range and may be modified in the future. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. #LI-DNI

Besides joining a community of people working to make the world better, Form Energy commits to you equitable compensation, stock options, and offers a generous benefits package to make sure you have the support you need to thrive.

We cover 100% of employee premiums and 80% of dependent premiums for medical, dental, and vision insurance for full time employees. We offer a flexible Paid Time Off program and every employee, regardless of gender identity or expression, is eligible for 12 weeks of paid parental bonding leave. A full listing of our benefits is available on our careers page.

At Form Energy, we are working toward a 100% renewable energy future for everyone in the world. We are committed to creating an inclusive environment for all our employees and are seeking to build a team that reflects the diversity of the people we hope to serve with our revolutionary products. Form Energy is proud to be an equal opportunity employer.


Senior Data Scientist

Location: Remote USA. This role can be performed anywhere from the United States.
The Role
On this team you are going to be responsible for supporting tactical, operational, and strategic business choices by delivering relevant reactive and proactive insights to key stakeholders. The primary stakeholders you will support include Marketing, Product, and Finance stakeholders. This role has high visibility and will regularly interact with and inform Executive level leadership.

What You Will Do

Drive a deep and holistic understanding of our users through applying a mix of machine learning, statistics, and analytics skills
Use data to track, understand, and improve marketing, product, and user performance and translate that into strategic insights and recommendations
Provide strategic and analytical support to product and marketing stakeholders with topics/questions such as CLTV, conversion metrics, retention metrics, engagement metrics, etc.
Conceptualize and build data models, tools, and dashboards that enable stakeholders to access data and draw insights in a self-serve manner

Skills We’re Excited About

3+ years of data science experience
Master's degree in Data Science, Statistics, or related field
Ability to partner with product managers to define product roadmaps
Strong applied analytics and problem-solving skills in the fields of product and/or marketing analytics
Experience working with large datasets, modeling, statistics, A/B & multivariate testing
Proficiency with SQL and Python, and R

Bonus Points For

Experience creating and maintaining Plotly Dash dashboards
Developing machine learning models and moving them into production

Why Work With Us?
Create your own destiny. GoPro enables you and trusts you to get your own job done, because we believe that autonomy in role brings out the best in our employees.
Live your best life. We’ve adopted remote and flexible work arrangements to support work at GoPro alongside our commitment to supporting employee wellbeing, belonging and connection with one another.
Work with leading edge technologies. We encourage employees to cultivate and use the latest and greatest technology, to provide the best solutions to serve our customers. We celebrate creative solutions that bring innovation to GoPro technology.
GoPro Highlights

Get your very own GoPro camera + gear
Medical, dental, and vision insurance – premiums are 100% paid for employees, 90% paid for dependents
Life insurance and disability benefits
Generous time off policy
12 weeks paid parental leave for new parents
Pre-tax and Roth 401(k) options
Discounted employee stock purchase plan (ESPP)
LiveHealthy monthly wellness reimbursement
Innovative remote-friendly wellness classes and events
Flexible work arrangements
Professional + personal development opportunities, i.e. LinkedIn Learning, technology trainings, certifications, Peer-to-Peer learning, conferences and more
Opportunities to get involved in the causes that you care about (annual camera donation + volunteer events)

We strive for the day that no group can be described as underrepresented at GoPro – whether as part of our brand or in our workforce. We are committed to providing a more inclusive, representative, equal, just, and happy world. GoPro is proud to be an Equal Opportunity Employer.
The pay range for this role is between $119,000 - $195,000. Actual pay within the range is dependent on multiple factors, including your residence location and prior work experience. Equity, benefits, and a discretionary bonus may be additional forms of compensation for this role and are not included in the provided pay range.
#LI-Remote #flexible


Sr Data Scientist Deep Learning

About Us
Elementus is a data-first pioneer on a mission to build best-in-class software solutions to help organizations of all sizes navigate web3 safely with confidence and success. Whether you’re interested in building a crypto strategy, identifying risk, or discovering valuable market intelligence, our platform provides the most complete data set and sophisticated attribution capabilities on the market, resulting in the actionable insights companies need to grow and prosper safely in a web3 world.

Overview
We're seeking a highly motivated and talented Data Scientist with a strong focus on Machine Learning to join our team. As a Data Scientist focussed on blockchain data, you will play a critical role in developing innovative data analysis techniques, and leveraging machine learning algorithms to derive valuable insights. The ideal candidate should possess a solid foundation in statistics, programming, and data analysis, coupled with a deep understanding of various machine learning algorithms and techniques. If you are passionate about solving real-world problems using data-driven approaches and have a proven track record of applying machine learning to derive meaningful insights, we would love to hear from you.

Responsibilities
• Proactively identify opportunities where data can enhance our understanding of Blockchain.

• Develop and optimize deep learning models to support the core of our data science processes around clustering and entity attributions.

• Collaborate with engineering, product and business teams to identify problems and formulate data-driven solutions

• Analyze large, complex blockchain datasets to identify patterns, trends, and insights that can be leveraged to drive decision-making

• Develop, implement, and deploy machine learning models to solve business problems, leveraging algorithms such as regression, classification, clustering, and deep learning
• Conduct exploratory data analysis, feature engineering, and data preprocessing to prepare datasets for model training and validation

Requirements
• Have ideally at least 7+ years of experience
• Degree in a technical or quantitative discipline, such as Engineering, Computer Science,  Statistics, Mathematics or related fields
• Strong problem-solving skills with the ability to think creatively and develop innovative solutions.
• Strong understanding of machine learning algorithms and techniques, such as regression, classification, clustering, natural language processing, deep learning, and reinforcement learning
• Proficiency in programming languages commonly used in data science, such as Python or R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Apache Spark)

Stand Apart By Demonstrating the following:
• Knowledge of blockchain, smart contracts, or decentralized finance (DeFi)
• Resourcefulness in finding data sources and gathering data
• Proactivity in identifying problems, asking the right questions and independently driving to solutions
• Versatility in attacking problems with different tools and from various angles

$175,000 - $225,000 a year
Compensation
The base salary pay range for this position is $175,000-$225,000 annually. Base salary may vary depending on market location, job-related knowledge, skills, and experience. A sign-on bonus and stock options may be provided as part of the total compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Elementus internal or external careers site.

Perks
• Medical, Dental & Vision Insurance Coverage
• Life Insurance
• Unlimited PTO
• Paternal Leave
• Flexible Work Schedule
• 9 Paid Holidays
• WFH Stipend to support your home office needs
• Sick Leave

EEO Statement

Elementus is an equal opportunity employer and we’re proud of our ongoing efforts to foster diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Elementus are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristics protected by applicable law.Elementus aims to provide reasonable accommodations for applications with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an email to careers@elementus.io with your specific accommodation request.

By submitting your application, you agree that Elementus may collect your personal data.


Senior Data Scientist Nlp

As a Senior NLP Data Scientist at Lightcast, you will be at the forefront of developing and implementing advanced natural language processing (NLP) algorithms and models to extract valuable information from large volumes of text data. You will be critical in driving innovation and differentiated capabilities in our workforce intelligence solutions by leveraging your deep expertise in NLP, machine learning, and statistical modeling. Your work will help us improve our products and deliver actionable insights to our clients.

Major Responsibilities:

Develop and implement advanced NLP algorithms and models to extract information from diverse text data sources, such as job postings and resumes, focusing on accuracy and performance optimization.
Build and fine-tune machine learning models, including pre-trained language models like BERT, GPT-2, and Transformer-XL, using frameworks such as PyTorch or TensorFlow.
Conduct research and stay up-to-date with emerging trends and technologies in NLP, machine learning, and related fields, bringing innovative solutions to address complex challenges.
Collaborate closely with data scientists, analysts, and business stakeholders to define project objectives, requirements, and deliverables, ensuring alignment with business goals.
Effectively communicate complex technical concepts to technical and non-technical stakeholders, presenting findings and insights clearly, concisely, and compellingly.
Mentor and guide junior data scientists, fostering their professional growth and promoting a culture of continuous learning and development.
Contribute to advancing the organization’s data science capabilities by sharing knowledge, best practices, and insights with the broader team.

Skills & Abilities:

Advanced knowledge of natural language processing (NLP) techniques, including text mining, text analysis, information extraction, and sentiment analysis.
Strong understanding of machine learning algorithms and statistical models, with experience implementing and fine-tuning pre-trained large language models.
Proficiency in the Python data science ecosystem, including Pandas, NumPy, spaCy, sci-kit-learn, NLTK, and Gensim.
Ability to stay current with emerging trends and technologies in NLP, machine learning, and related fields, applying innovative approaches to solve complex problems.
Excellent problem-solving skills, creativity, and the ability to design new and effective solutions when no suitable approaches are available.
Strong analytical mindset with the ability to handle and analyze large volumes of text data and derive actionable insights.

Education & Experience:

A graduate degree (M.S. or Ph.D.) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
Minimum of 5 years of industry experience in developing and implementing NLP algorithms and models, focusing on text mining and analysis.
Proven track record of utilizing machine learning algorithms and statistical models to extract valuable insights from large datasets.
Experience with contemporary machine learning and NLP frameworks and designing and building scalable pipelines for analyzing text data.

About Lightcast:
Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India.  We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-SS1


Senior Data Scientist

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for a Senior Data Scientist to join the pricing team for our real-time bidder team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to launch new pricing and conversion ML models

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and workflows for model training

The following experience would be a plus:

Hands-on with deep learning in production pipelines
Ad tech and/or mobile space.

Perks:

Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely
Private health insurance
Life insurance
Optical complement for glasses or contact lenses
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Scientist

Hi! Before diving into the job details, let's give you some context on who we are and what to expect when joining the team.
Typeform, launched in 2012 in Barcelona, drives more than 500 million digital interactions per year and integrates with hundreds of other business-critical tools. We’re expanding from a small Barcelona-based business to a truly international and remote company. We’re hiring talent across Spain, the United States, the United Kingdom, Germany, Colombia, France, Ireland, the Netherlands and Portugal. Be aware, the location is to be subjected to change, depending on the role.
Our vision is a world of more personal business relationships. Through our no-code Saas platform, we believe we can create that world by living our mission: To bring people closer with better conversations. We turn digital interactions into human connections, by offering people-friendly forms, quizzes, surveys, and asynchronous video solutions.
To do so, we look for people who are curious, ready to own their objectives, and passionate about taking organisations to their next chapter. But we are aware it’s not for everyone, our environment is perfect for those willing to become a change agent and roll up their sleeves to build our rocket ship.
 About the Team
You will be joining the Data Science team in the Data and Insights division at Typeform. As part of this team, you will report to the "Head of Data Science" and collaborate closely with a team consisting of 3 data scientists, 1 machine learning engineer, and 1 manager. Currently, the team comprises 2 data scientists and a manager, but it is designed to have a total of five members, including the new positions. With the addition of an extra data scientist and an additional machine learning engineer, the team will achieve its intended composition of 3 data scientists, 1 machine learning engineer, and 1 manager. The team is located in the EMEA region.
As a data scientist in this team, your primary focus will be on solving complex data-related problems and challenges. You will analyze large datasets, derive insights, build predictive models, and create data-driven solutions to improve various aspects of Typeform's products, services, and operations.
About the Role
The role of a data scientist will primarily solve complex data-related problems and challenges. This includes tasks such as analyzing large datasets, deriving insights, building predictive models, and creating data-driven solutions to improve various aspects of Typeform's products, services, and operations.
The strategic purpose is to leverage data as a strategic asset for the organization. By applying advanced analytics and machine learning techniques, the DS helps drive strategic decision-making, identify trends and patterns, uncover business opportunities, and optimize processes across different functions.
Things you will do:

Collaborate with cross-functional teams to understand and translate business objectives into data-driven solutions.

Work on specific projects and initiatives to improve user engagement, personalization, conversion rates, or operational efficiency.

Utilize data analysis, modeling, and experimentation techniques to drive insights and deliver tangible outcomes.

Collaborate closely with a machine learning engineer to leverage their support and expertise.

Conduct thorough data analysis to identify patterns, trends, and opportunities for optimization.

Develop and implement statistical models and machine learning algorithms to extract valuable insights from data.

Design and execute experiments to test hypotheses and validate proposed solutions.

Generate actionable recommendations based on data findings and insights.

Communicate results and recommendations to stakeholders effectively, both verbally and through data visualization.

Continuously monitor and evaluate the performance of data-driven solutions and iterate as needed to ensure ongoing improvement.

Stay up-to-date with the latest advancements in data science and machine learning to bring innovative approaches to problem-solving.

What you already bring to the table:

Statistical Analysis: Proficiency in statistical techniques, hypothesis testing, regression analysis, and experimental design to extract insights from data.

Machine Learning: Strong understanding and practical experience with machine learning algorithms, including classification, regression, clustering, dimensionality reduction, and ensemble methods.

Data Manipulation and Cleaning: Expertise in data preprocessing, cleaning, and transforming techniques to ensure data quality and integrity.

Programming Languages: Proficiency in programming languages such as Python for data manipulation, analysis, and model implementation.

Data Visualization: Ability to effectively communicate insights through data visualization techniques.

SQL and Database Knowledge: Familiarity with querying databases using SQL and understanding relational database concepts.

Data Mining and Exploration: Competence in exploratory data analysis (EDA), data mining techniques, and feature engineering to uncover patterns and hidden insights in data.

Experimental Design: Understanding of experimental design principles to design and conduct controlled experiments or A/B tests for data analysis.

Software and Tools: Proficiency in using data science libraries and frameworks like NumPy, Pandas, or scikit-learn, for efficient data analysis and model development.

Big Data and Cloud Computing: Familiarity with big data frameworks like Spark and cloud platforms like AWS for handling large-scale datasets

Extra awesome:

Natural Language Processing (NLP): Knowledge of NLP techniques for text analysis, sentiment analysis, language modeling, or chatbot development.

Deep Learning: Experience with deep learning architectures, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and related frameworks like Keras or TensorFlow.

Time Series Analysis: Proficiency in analyzing and forecasting time series data using methods like ARIMA, SARIMA, or LSTM.

Unsupervised Learning: Familiarity with unsupervised learning techniques like clustering, anomaly detection, or association rule mining.

Natural Language Generation (NLG): Proficiency in generating human-like language output from data using NLG techniques.

*Typeform drives hundreds of millions of interactions per year, powering conversational, human-led experiences all over the world. We are proud to be an equal-opportunity employer. We celebrate diversity and do not tolerate discrimination and harassment of any kind, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We believe that by celebrating our differences, we can win together.


Data Scientist Pricing Analytics Fintech

THE ROLE:
Leveraging data to solve customer problems is in Hopper’s DNA. While this began with helping customers save money by booking at the best time with our Price Prediction tool, we’ve also used data to build a suite of novel Fintech products that help customers save money while traveling.

You will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate common travel headaches (like flight delays, cancellations, or price anxiety), and ultimately get where they want to be. This role will touch all of Hopper’s fintech products but focus on our Flexibility (including Cancel for Any Reason, Change for Any Reason, and Leave for Any Reason) and Price Freeze products.

This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of Hopper's most innovative teams, and get access to fascinating and massive market and behavioral data sets. It’s a huge personal growth opportunity, and includes high potential upside of pre-IPO stock options.

In this role you will be part of a cross-functional team of product managers, data scientists, and engineers who work closely together to make travel easier and reach millions of users in the process. Responsibilities include:

- Initiate, develop, and maintain data pipelines that power our decision making
- Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them
- Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mis-priced and deploy scalable solutions to correct pricing models
- Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience
- Find new opportunities for revenue growth by becoming the expert on our data and customers
- Deliver all of the above within the Hopper app as well as on other distribution channels–the reach of this role is huge

We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results.

An ideal candidate has:

A proven track record of solving complex problems with in depth understanding of data, product and business impact
High attention to detail and ability to create scalable data solutions
Strong creative problem-solving skills and critical thinking competencies
Designed, implemented, and deployed pricing models into production using modern technologies (e.g. Docker, Kubernetes, Google Cloud Platform, etc)
Fluency in using SQL for data creation, maintenance and analysis
High proficiency in at least one programming language (preferably Python)
Experience with data visualization tools (Tableau, Amplitude, Big Query)
Worked on a consumer product and has shipped high impact models at scale
Strong experience, knowledge of, and/or keen interest in Fintech, Insurtech, or risk-based products

Perks of working with us:

Competitive salary commensurate with candidate’s relevant qualifications, knowledge, skills and work experience. Total compensation may also include equity (options / RSUs), sign-on bonus and other potential incentives
Unlimited PTO
WeWork All Access Pass OR Work-from-home stipend
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership
Small, dynamic teams = massive impact
100% employer paid medical, dental, vision, disability and life insurance plans
Access to a 401k

#posttoexternal

MORE ABOUT HOPPER

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

- Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

- The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue.

- Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership,

- Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

- Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month.

- Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace.

Come take off with us!


Data Scientist

About Wurl, LLC.
Wurl is a global streaming network. Our B2B services provide streamers, content companies, and advertisers with a powerful, integrated network to distribute and monetize streaming television reaching hundreds of million of connected televisions in over 50 countries.  This year Wurl was acquired by AppLovin (Nasdaq: APP), an industry-leading mobile marketing ad tech company, bringing together the technology and innovation of the mobile and television industries.  With the merger, Wurl employees enjoy the best of both worlds: the dynamic environment of a 160+ person start-up and the stability of a high-growth public tech company.
Wurl is a fully-remote company that has been recognized for the second year in a row as a Great Place to Work.  Wurl invests in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. We hire the world’s best to build a bunch of cool stuff on an interface fully integrated with their own from streaming, advertising and software technology to continue to help us disrupt the way the world watches television.
Data Scientist - Remote
Wurl is seeking an experienced, detail-oriented Data Scientist who will support our product, sales, leadership, and marketing teams with insights gained from analyzing company data. Wurl’s position in the video and ad delivery ecosystem enables detailed performance and behavioral measurement. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations and predictions. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
The ideal candidate is experienced with Big data, ML processes, SQL, python, Agile processes, microservice architectures, SaaS concepts. Experience with OTT video, ad insertion processes, JIRA, Confluence, DataDog, Snowflake, AWS, and DataBricks is advantageous but not mandatory.
What you'll do:
Contributing to Wurl’s understanding of our data
Contributing to data processing and machine learning initiatives
Identifying quality metrics and data features
Building data models and prediction models
Contributing to Wurl’s ML frameworks: research models
Participating in the evolution of Wurl’s data management and analysis framework
Creating solutions that are practical and can be applied to business applications
Using probability, statistics, predictive modeling, machine learning, or other quantitative methodologies to solve real-world TV delivery and advertisement problems.
Qualifications:
PhD in Computer Science, Mathematics, Physics or relative field plus 2 years of relevant experience OR Master’s degree in Computer Science, Mathematics, Physics or relative field plus 4 years of relevant experience
Expert programming skills with Python and SQL
Knowledge of Spark/PySpark
Strong mathematical background and knowledge including but not limited to statistics, predictive modeling, linear algebra, machine learning
Experience with AI, including building ML models using frameworks such as TensorFlow, PyTorch, SparkML, scikit-learn.
Knowledge of fundamental NLP concepts and updated  with the state-of-the-art NLP models
Data pre-processing, visualization and data cleansing experience
Experience dealing with big datasets and databases
Effective communication skills
Works well in a team and independently
Soft skills: creative, innovative, open to receiving and giving constructive criticism, open to discussions, trustworthy and reliable
Proven record of being an outstanding problem-solver
Location: US remote.
Pluses:
Advanced proficiency with data visualization tools (such as Tableau, Power BI, Domo)
Knowledge Snowflake, Databricks and Git
Experience with SaaS offerings: AWS preferred. Containerization, serverless processes, microservice architectures, etc.
Experience with OTT streaming formats (HLS, DASH), SSAI
Publications in a peer reviewed journals

What We Offer
Competitive Salary & Equity
Strong Medical, Dental and Vision Benefits, 90% paid by Wurl
Remote first policy
Flexible Time Off
12 US Holidays
401(k) Matching
Pre-Tax Savings Plans, HSA & FSA
Ginger, Aaptiv and Headspace subscriptions for mental and physical wellness
OneMedical subscription for 24/7 convenient medical care
Paid Maternity and Parental Leave for all family additions
Discounted PetPlan and easy at home access to Covid testing with empowerDX
$1k Work From Home Stipend to set up your Office
Few companies allow you to thrive like you will at Wurl. You will have the opportunity to collaborate with the industry’s brightest minds and most innovative thinkers. You will enjoy ongoing mentorship, team collaboration and you will understand what we mean by ‘human connection”.  You will be proud to say you're a part of the company revolutionizing TV.
Wurl provides a competitive total compensation package with a pay for performance rewards approach. The expected base pay range for this [CA based or North America based] position is $121,000 - $196,000. Base compensation at Wurl is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.


Senior Data Scientist Web Security

The Team
Our team's mission is to create advanced security solutions that enable our customers to filter out unwanted internet traffic. We achieve this by harnessing the vast amount of internet traffic data available to us and deriving deep, insightful analytics through the application of advanced machine learning techniques. Our focus is on developing machine learning models that can operate at a high volume and velocity with exceptional precision, performance, and scalability. One of our key challenges is creating and deploying models that can withstand a massive scale of 65 million peak requests per second. Our flagship Machine Learning products, WAF Attack Score and Page Shield ML, represent cutting-edge examples of our work in this space.
The team works in close collaboration with Product Managers, Software Engineers and others to collaboratively ship industry leading ML solutions. The core values to the team include empathy, resiliency, collaboration and ownership. The team measures their success on positive customer feedback, adoption and sustainability of our products.
The Role
We are currently seeking a highly experienced Senior Data Scientist with prior experience in Natural Language Processing (NLP) to join our Application Security team. In this role, you will work closely with our security experts to develop innovative solutions that leverage NLP to improve our security capabilities. This hands-on position will be responsible for development and deployment of highly scalable Machine Learning models from the ground up. As a key member of our team, you will have the opportunity to work on cutting-edge projects that require advanced NLP techniques, and to collaborate with other highly skilled professionals to deliver outstanding results.
Our ideal candidate will have a strong background in developing high-performance, enterprise-scale services and a proven track record of delivering exceptional performance while maintaining operational stability. As a high-visibility position, success in this role will depend on your ability to effectively combine your data and modeling skills with your security acumen.
What you will do

Collaborate with product managers, data engineers, machine learning engineers, and other stakeholders to define clear business objectives for Machine Learning products.
Conduct thorough literature reviews to identify current solutions and gaps, and conduct exploratory analysis to generate hypotheses and corresponding creative ML solutions to address these gaps.
Lead the design, implementation, and training of statistical, machine learning, and deep learning models, and apply software engineering best practices to publish model scores, insights, and learnings at scale throughout the organization.
Continuously evaluate and improve the accuracy and performance of existing models. Integrate the learnings from the evaluation to improve model performance.
Write comprehensive documentation that focuses on key takeaways in a clear and concise manner for both technical and non-technical audiences.
Develop a deep understanding of the data landscape, including tooling, tech stack, and source systems, and work closely with data engineers and machine learning engineers to improve data collection and quality.
Align analysis efforts with the business/product strategy and high-level roadmap to enable data insights that support strategic goals.
Demonstrate the ability to identify macro and micro-level trends with statistical significance on a regular basis and understand the key drivers behind those trends.

Examples of desirable skills, knowledge and experience

Minimum 5 years of Data Science experience with proven industry experience in a large scale environment (PBs scale, globally distributed teams).

Proficient in Python and R for commercial software development, and experience working with databases like Postgres.
Excellent data analytical skills and ability to derive insights and propose models that lead to effective proof-of-concept (POC) development.
Ability to work closely with cross-functional teams including business, engineering, and product teams to ensure data initiatives are aligned with business objectives.
Strong communication and presentation skills catered to different audiences within the company.
Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
Demonstrated ability to deliver results while taking feedback and maintaining a collaborative work environment.
Proven ability to deliver performance (what) with the right behaviors (how)

Bonus Points

Previous experience in developing efficient Machine Learning models with low latency (sub-millisecond) in a commercial setting
Proven experience in Natural Language Processing (NLP) in a commercial environment
Prior experience in Machine Learning for Web Security in a commercial setting


Global Senior Data Scientist

A hybrid working schedule, gr-r-reat benefits package, and the opportunity to contribute to a global team - a perfect recipe for your next job! We’re looking for a GLOBAL SENIOR DATA SCIENTIST in MANCHETSER. Will it be you? The global data science team is embarking on an exciting journey to harness and enhance our decision-making capability to maximise growth across our trusted brands. By building strong business relations, this role will require you to build contextual knowledge with our stakeholders to enable delivery of advanced statistical modelling and decision support tools that drive business value.
Your role will be based in our MEDIA CITY office on a hybrid work schedule with some internationally travel will be required.
WHAT WE OFFER
25 Days Holiday plus 8 Bank Holidays
Annual bonus circa 13% based on performance.
Annual car allowance
Market leading pension
Family health cover
HERE’S A TASTE OF WHAT YOU’LL BE DOING
Lead and execute global data science initiatives by developing impactful business scenarios and collaborating with stakeholders to identify requirements and expected outcomes.
Iteratively validate findings by working closely with the business, providing both technical and business-friendly explanations.
Identify relevant data from diverse internal and external sources, extracting meaningful patterns to drive actionable business insights.
Lead a team in proposing and developing advanced analytical solutions that employ the appropriate algorithms to discover patterns in multi-dimensional data.
Drive the development of optimised decision models accounting for uncertainty through probabilistic or other methods and validate where possible these results using existing problem instances or in-market experiments.
Conduct research to provide recommendations on big data infrastructure, database technologies, and contribute thought leadership in various business domains by proposing relevant and simplifying complex paradigms.
YOUR RECIPE FOR SUCCESS
Degree / MSc in Computer Science, Statistics, Mathematics, operations research, or a similar related field
Programming experience in Python/ R or other
Proven ability to operate in a fast-paced organisation on technical projects that may be outside of your area of expertise.
Support the team to design and develop scalable data science solutions using appropriate statistical or machine learning applications. Experience of applying these across functions such as RGM, Supply Chain, R&D or Brand Building/Marketing, manufacturing would be advantageous.
Demonstratable experience in data mining with advanced predictive modelling with a proven track record in advanced statistical design and analysis, decision-based optimisation or advanced forecasting techniques.
A proven track record of leading a small team of data scientists.
Ability to communicate complex technical concepts to different audiences across the team, business partners, external stakeholders etc.
WHAT’S NEXT

After you apply, your application/CV will be reviewed by a real recruiter. This means it could take us a little while to get back to you so watch your inbox for updates. In the meantime, visit our How We Hire page to get insights into our hiring process and how to best prepare for a Kellogg interview.
If we can help you with a reasonable accommodation throughout the application or hiring process, please email European.Recruitment@kellogg.com.
This role takes part in Locate for Your Day, Kellogg’s hybrid way of working that empowers office-based employees to, in partnership with their managers, find a balance between working from home and the office.
ABOUT KELLOGG COMPANY
Kellogg Company is a multibillion-dollar company with over 30 thousand employees all over the globe. We’re proud of our rich and vibrant history and our iconic brands – foods that you grew up with like Crunchy Nut, Corn Flakes, Special K, as well as innovative foods such as Pringles and Pop-Tarts. Today, remaining relevant in an ever-changing world requires a culture of innovation and inclusion, and an appetite for challenging the norm. At Kellogg, you’ll find this is in our DNA. We’re proud to say we’ve been awarded Fortune’s “World’s Most Admired Companies”, DiversityInc’s “Top 50 Companies for Diversity”, Newsweek’s “Most Loved Workplaces”, and many more awards that you can check out here.
To become part of our story requires a commitment to a team that demands the best you’ve got to give. In return, you get to make a meaningful contribution towards how we shape the future, ensuring better days for our planet, our people and our communities. We strive to create a world where people are not just fed but fulfilled and a workplace where everyone is empowered to be their true selves.
We’re results oriented and we ask you to live up to the best you can be. This means you’ll be excited and afraid of the opportunities all around you in equal measure. We’re passionate and incredibly proud of our inclusive culture that balances understanding, accountability and challenge at every step of your journey, for as far as you want to progress. It’s the challenge of a high-performance culture combined with a team first mentality that drives us all forward and brings us closer together.  We can be tough, but we’re always kind. We’re at our best when we push each other to become better, recognising and rewarding gr-r-reatness along the way.
Equity, Diversity, and Inclusion have been part of our DNA since the beginning. Clearly stated in our Code of Ethics “we have respect for individuals of all backgrounds, capabilities, and opinions.” We believe that equity is more than leveling the playing field. It is making sure barriers, both tangible and intangible, are removed. We’re a foundation member of the Leading Executives Advancing Diversity (LEAD) Network, dedicated to meaningfully accelerating gender parity and driving inclusion in the European retail & Fasting-Moving Consumer Goods value chain. We’re proud that we’ve reached 50:50 gender parity for all leadership roles ahead of our 2025 target.
There’s a seat for everyone at our table. It’s up to you to make yours count.
So, Make It Happen
Kellogg Recruitment


Senior Ml Data Scientist

What will you do:
Rumble is seeking an experienced Senior ML Data Scientist  who will be responsible for setting requirements for data collection, preprocessing, analyzing large amounts of data, building models and/or building algorithms capable of learning and predicting future data points.
In this key role you will be responsible for:

Analyze large amounts of data to discover trends and patterns.
Identify valuable data sources and set requirements for implementation.
Undertake preprocessing of structured and unstructured data.
Build predictive models and machine-learning algorithms.
Propose solutions and strategies to business challenges.
Collaborate with engineering and product development teams.
Training and retraining ML systems and models as needed.
Use predictive modeling to increase and optimize solutions as needed.
Other duties, as assigned.

Required Qualifications:

2+ years of experience of building machine learning models for business application
Algorithm and model development experience for large-scale applications
Significant experience using one or more of the following languages Python, Java, or C++
Extensive knowledge and practical experience in deep neural networks and other recommendation systems, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), residual neural networks and collaborative filtering techniques.
Strong fundamentals in problem solving, algorithm design and complexity analysis.
Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

Preferred Qualification:

Some experience contributing, working with, or maintaining open-source projects.
Experience working on and performing some administrative tasks on Linux.

Desired Qualification:

Significant peer reviewed scientific contributions in premier journals and conferences are a plus.
Experience working with any or all of the following: SQL, Kafka and Redis
Understanding of network concepts
Working experience with video a plus


Data Scientist Marketing Analytics

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What's the Role?
We are looking for a Data Scientist to join our Marketing Analytics team in Brooklyn!
As a data scientist, you will be responsible for helping drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization. We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience. Do you find joy in using data to solve business problems and help teams drive their strategy forward? If so, this could be the perfect match.
This is a full-time position reporting to the Manager, Analytics and the base salary range will be $104,000 - $136,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What does the day-to-day look like?
Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentationDrive forward strategy for performance marketing partners by transforming raw data into meaningful and impactful analyses characterized by strong data governance, technique clarity, and clear documentationPlay a foundational role in deciding how we can best engage and grow Etsy users by determining and helping prioritize opportunities for growth through analysis of behavioral and transactional dataIdentify key metrics that drive the performance of marketing channels and marketing products, make these accessible to partners through dashboards and reports, and drive these metrics through statistical analyses of experimentsContinually evaluate and refine your technical toolkit, sharing what you learn with the teamOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
2+ years of proven experience as a data scientist/analyst or in a quantitative role in which you extracted meaning from big data sets with little engineering supportExperience with performance/digital marketing operations, channel attribution, churn and lifetime value models, analytical tools and infrastructure, and finding efficient growth strategies a plusProficient in SQL and either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)Proven ability to communicate your insights verbally, visually, and in writing with teammates and business partnersComfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams workStrong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problemsPassionate about subjects such as experimental design, data visualization, and statistical analysis techniquesExperience with Looker, Tableau, or other data visualization software a plus
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. 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 or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Senior Data Scientist Marketing Analytics

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee whether a team member of Etsy, Reverb, Depop, or Elo7 you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What's the Role?
We are looking for a Data Scientist to join our Marketing Analytics team in Brooklyn!
The Marketing Analytics team helps drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization. We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience.
Learning new skills and techniques is not only a requirement but a perk of the job. We are always looking for opportunities to improve. Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community.
This is a full-time position reporting to the Manager, Analytics and the base salary range will be $130,000 - $168,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our Flex and Office-based work modes and workplace safety policies here.
What does the day-to-day look like?
Develop, implement, and refine core marketing measurement frameworks and models, including attribution, churn, CLV, return on investment, experiment methodology, and segmentation.Design and analyze rigorous experiments based on sound statistical theory, help teams set great hypotheses, and deliver robust analysis of experiment results.Drive forward strategy for performance marketing partners by transforming raw data into meaningful and impactful analyses characterized by strong data governance, technique clarity, and clear documentation.Play a foundational role in deciding how we can best engage and grow Etsy users by determining and helping prioritize opportunities for growth through analysis of behavioral and transactional data.Raise the skill level of the entire analytics team through the creation of exemplary work, mentorship, and the introduction of better practices, processes, and tools.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years experience as a data scientist or data analyst in which you have extracted meaning from big data sets with little engineering support.You should have experience guiding and scaling marketing efforts and a deep understanding of marketing theory and practice, particularly for performance/growth marketing. This includes but is not limited to experience with measurement techniques, such as customer lifetime value, attribution models, marketing mix models, and experimental design. You have mastery of SQL (experience with BigQuery a plus), are proficient in R/Python and other scripting/automation techniques. You actively try new approaches to advance your technical skills. Bonus points for experience with Looker, Tableau, or other data visualization software.You are an expert in sophisticated analyses and have experience with advanced statistical methods (ex. Propensity Score Matching, Causal Impact, Regression Models).You are adept at communicating your insights, verbally, visually, and in writing to peers and leaders at all technical comprehension levels. You are able to distill complex findings into impactful recommendations.You are passionate about reproducible work and have picked up tools to this end; you have acted as a mentor, teaching others how to make their own work better and more efficient.Strong, independent, analytical problem solver who enjoys thinking about and solving complex and nuanced problems.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. 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 or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Senior Data Scientist

Why TrueML?
¬†
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML‚Äôs approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
¬†
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

The Opportunity:

You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance.

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making and providing insights that contribute to our customers' experience. Your primary responsibilities will include leading projects independently, applying your business acumen to find the gaps in the system, and applying machine learning skills to solve them. This is an excellent opportunity for an individual who possesses a strong passion for leveraging data to solve complex business problems.

What You'll Do:

Independently lead end-to-end data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation.
Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them.
Work cross-functionally to identify high impact business needs and translate them into technical requirements
Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics.
Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes.

What We're Looking For:

Advanced degree in statistics, applied mathematics, computer science or equivalent preferred. A Master's or Ph.D. degree is preferred.
Minimum 5+ years of data science experience, with focus in machine learning, with a track record of successfully leading and delivering complex data science projects
Strong foundational skills: Python, pandas, SQL
Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.

$140,000 - $168,000 a year

Salary Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Benefits, Perks, and Culture
¬†
- Everything you need to work remotely
- Unlimited PTO
- Medical/dental/vision insurance
- 401k through Charles Schwab with employer contribution matches¬†
- Flexible Spending Account & Limited FSA
- Short + long term disability, company paid life insurance
- Family-friendly maternity and paternity leave
- Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
- Wellness Coach for you and 5 family members. Wellness Coach gives all TrueML employees access to 3000+ on-demand sessions about meditations, fitness, nutrition, and more!
- PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
- Paid time off to do volunteer work in your community.
¬†
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you‚Äôre looking for an opportunity to do impactful work, join TrueAccord and make a difference.
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Our Dedication to Diversity & Inclusion
¬†
TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For California Applicants: we collect personal information for employment purposes.¬†We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our¬†Privacy Policy.


Data Scientist Product Analytics

About the team
The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives.

What you will do

Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights
Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities
Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement
Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes
Conduct analysis of feature usage and how we can improve the product
Effectively communicate insights and recommendations to stakeholders
Lead ongoing decisions concerning data collection, test/study design and data analyses
Design and implement predictive models to improve engagement, conversion, and retention

What you have done

Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field
4+ years experience doing quantitative analysis
Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL)
Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau)
Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
Ability to translate complex data into actionable insights for a non-technical audience

Who you are

Strong problem solving and analytical skills
Driven self-starter with good attention to detail
Willingness to learn new technologies, tools and approaches to problem solving
Excellent communication and presentation skills
Experience working within the tech sector preferred

We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

California privacy notice: Read our privacy policy for job applicants at https://evernote.com/privacy/policy


Data Scientist

At Ookla, our mission is to help make the internet better, faster and more accessible for everyone. Globally, millions of users perform tests across the Speedtest and Downdetector ecosystem each day, which allows us to track internet performance and outages in real time.We’re looking for a mid- to senior-level data scientist to join our unique and highly-collaborative team of analysts and data scientists. Your primary focus will be developing methodologies that describe mobile and fixed internet performance in new and meaningful ways that enable consumers, service providers, manufacturers, regulators, and more to understand their service and make informed decisions.For this role, a strong understanding of both inferential statistics and R are needed. Successful applicants will have an inquisitive nature, a creative approach to solving problems, excellent communication skills, and a strong drive for data advocacy. We’re especially interested in candidates who also have experience with broadband networking technologies, cloud computing, and developing reproducible software. We typically use tools like R, Redshift, Python, and Spark for our daily work.We are people first, employees second at Ookla, and we know there is no one perfect path to any job. If you’re excited about the work we’re doing and think you would offer a creative new perspective, please apply whether or not your experience matches the job description. We strongly believe diversity of all kinds makes us better. We are an equal opportunity employer actively working to build an inclusive workforce at all levels of the company. [Read our latest diversity report here].Responsibilities Lead development of metrics for describing internet quality of service and quality of experience and approaches for statistical testing Provide thoughtful analysis and data-driven support for teams throughout the company including data quality assurance, exploratory analysis, and data preparation or presentation Create internal tools, packages, and documentation Mentor teammates and help them develop new skill  Dependable team player that enjoys learning from and teaching others Strong understanding of statistical inference and testing and experience applying statistical methods to real-world challenges Experience using and developing R (tidyverse) SQL expertise, and experience building complex queries against large data sets The ability to communicate and tell stories about data Proven history of exceptional customer service and advocacy Experience with internet, cellular, and broadband technology and infrastructure a plus  People come first at Ookla. We offer competitive compensation, flexible schedules, transit passes, on- and off-site happy hours, team activities, lunch on Wednesdays and an office kitchen full of snacks. Our comprehensive benefits package includes 401(k) matching, unlimited paid vacation and sick time, ESPP options, health/dental insurance coverage and a stand-out parental leave. We make sure you have the best hardware, software and tools available for you to do your work, and we provide excellent flexibility for working remotely as time and responsibilities allow. Visit [our Built In Seattle page] for even more information.LocationThis is a remote/office based position which may be performed anywhere in the United States except for within the state of Colorado.


Head Of Data Science Analytics

About the Opportunity
How often are you given the opportunity to build something from the ground up; to be part of a team of people accomplished in diverse scientific and engineering disciplines, focused on using the best of what lies at the forefront of technology to address complex, real-world problems that have a positive impact on potentially millions of peoples' lives? This is that kind of opportunity.
We are seeking a thoughtful, hands-on Data Science and Analytics (DSA) leader with an aptitude for clinical trial data to join the rapidly growing Lokavant team. The Head of DSA will manage and work alongside the DSA team and will be a member of Lokavant’s leadership team. Our platform is fully cloud-based and is being built around modern tools and frameworks in an incredibly fast-moving agile environment. As Lokavant’s Head of DSA you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research technology industry.  We are specifically looking for functional managers, who will roll up their sleeves and work alongside their team members, developing and validating best-in-class predictive models to support our product strategy.

Key Responsibilities

Help the people who report to you grow and accomplish more by setting clear goals, providing direct feedback, managing project loads, and allocating resources accordingly, and ensuring deadlines are met
Take an active role in defining the development roadmap and deliverables for the DSA team in an integrated agile product development process
Drive the creation of departmental Objectives and Key Results (OKRs) for the DSA team, including representing the department at Lokavant’s Quarterly Strategic Planning meetings.
Drive development and productization of end-to-end machine learning models
Organize & resource the DSA team to ensure success across company objectives
Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features
Follow industry standard practices to implement, optimize, maintain, troubleshoot, and continuously improve the practices of the data science team
Support creation and maintenance of the DSA stack, working closely with our DevOps and IT functions
Enable effective working relationships across Product Management, Front-End Development, Development Operations, Commercial and Data Engineering
Work with the Lokavant Commercial team to represent Lokavant data science capabilities to potential/existing clients and other third-parties
Help recruit highly capable data scientists and analysts to the team from diverse backgrounds
Mentor and be mentored by data scientists of varied experience levels and subject matter areas

Minimum Requirements

3+ years relevant experience leading data science workstreams
5+ years relevant experience with data science
Coding proficiency in Python, R, SQL
Strong understanding of advanced statistical models and Machine Learning techniques
Demonstrated ability with an ML toolkit
Experience in managing data engineering ELT pipelines, including data mapping, warehousing, and architecture
Experience working in an Agile software development environment
Exceptional written and verbal communication skills
Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills
Proactive, self-motivated and self-directed, with the ability to learn quickly and autonomously
Comfortable with ambiguity
Superior problem-solving and troubleshooting skills
Ability to work as part of a collaborative cross-functional team in a fast-paced environment
Sincere interest in working at a rapidly changing start-up and scaling with the company as we grow

Preferred (Nice-to-have) Qualifications

Advanced degree (e.g. MBA, MSc, PhD, etc.) with strong academic performance in Statistics, Mathematics, Data Science, or equivalent field
Experience in the life sciences industry
Experience with healthcare data, ideally clinical/operational clinical trial data
Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.)
Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)


Senior Data Scientist Safety Insights

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
The Trust & Safety Org (T&S) is one of Reddit’s biggest divisions, and Safety Insights works across the entire org to provide qualitative (user research) and quantitative (data science) insights for product development, scaled abuse detection/mitigation, threat intelligence, safety operations, security, and privacy. We unravel hard problems that cut across T&S domains, and guide product development to protect our users from bad experiences. In the Safety Insights team, we value asking who’s missing, surfacing the deeper questions, up-leveling our peers, and facilitating good conversations. Our job is tough, but the impact is huge.
As a Senior Data Scientist on the Safety Insights team, you will inform strategic direction, facilitate data-supported decision-making, and identify ways to measure impact over time. You will work alongside some of the best Data Scientists, User Researchers and Product teams in the world. You will gain domain expertise in both safety enforcement and product development, and be part of key decisions both within and outside of Trust & Safety.
What You’ll Do

Identify actionable and impactful insights through metrics and analyses
Partner with product teams to guide and assess our safety product development
Partner with safety enforcement teams to guide and assess our enforcement strategies
Be an end-to-end project owner from ideation to implementation and influence -- whatever that’s needed to create impact and carry out our mission

Who You Might Be:

4+ years of data science and product analytics industry experience
2+ years of experience informing and influencing product or business decision-making
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., Python, R)
Motivated and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences.
Ability to tackle ambiguous and undefined problems


Senior Data Scientist

Verdigris is on a mission to sustain and enrich human life through responsive energy intelligence. Our AI sensors automate energy management and predict unseen equipment failures in mission-critical buildings. This is a critical step for autonomous, sustainable environments responsive to their inhabitants.

Extraordinary outcomes need exceptional teams. As a company we value working together and continuously growing.

About you

As a Senior Data Scientist, your mission is to bring insights to life. You will build robust, scalable, and efficient algorithms for reducing the energy footprint of buildings across the globe. You are a team-minded data scientist who will refine our tech stack, our engineering culture, mentor other engineers and impact our portfolio of mission-critical commercial buildings. Your primary responsibility is to produce robust and meaningful insights and automations for our customers, but also help scale a growing team. Your communication skills will allow you to convey information to your team members, sales, marketing, and other teams.

Responsibilities

You will mentor within a team of continuously improving engineers
You will enhance our agile engineering practices and pairing culture
You will research and develop novel IP and algorithms and help translate those into useful product features.
You will work across teams with product managers and customer teams to build deep customer empathy and prioritize work that delivers meaningful customer outcomes.
You will also assist in deploying algorithms you have created to a production environment.
You’ll perform all necessary technical engineering skills to help meet the team and company goals.

Required Qualifications

You hold an advanced degree (BS or MS) in Computer Science, Software Engineering, Computer Engineering, Mathematics, Physics or equivalent
You learn continuously and are passionate about applying what you know about data science and ML in real-world applications such as reducing energy usage in buildings across the globe.
You have at least 4 years of full time industry experience and are an expert in data science
You have led and mentored engineering teams
You have engineered a full release cycle of a commercial product
You can code in 1 or more functional languages, Python, and Javascript.
You embrace paired programming, test driven development and continuous integration
You listen actively and build consensus
You empathize strongly with customer problems
You can communicate complex concepts simply

Nice to Haves

You are experienced in our Machine Learning Stack (Pandas, Tensorflow, Keras, Numpy, Scikitlearn, Python, Scython, Pytorch)
You are experienced in cloud computing environments like AWS, Docker, Kubernetes, Terraform.
You understand SQL and relational database architectures and tradeoffs (PostgreSQL, MySQL, MSSQL, etc.)
You’ve built and deployed production level machine learning and software at scale.

We invite you to include your GitHub/BitBucket/GitLab account, any blogs or websites you maintain, and any software projects you worked on that you're proud of with your submission.

Applying to Verdigris is a chance to make an impact by joining a mission-driven startup. We’re aggressively innovating for the energy management industry hoping to affect climate change.
Verdigrisians aim to be ego-free authorities in our fields. We take our work seriously and strive for an opportunity-filled environment supportive of curious minds.

You can expect thoughtful, hardworking and funny teammates. When we are not sheltering-in-place, you can usually find someone to tour our historic NASA campus or make empanadas from scratch. We value differing perspectives and embrace candid, direct, and constant feedback. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, origin, gender, orientation, age, or status.


Data Scientist Market Intelligence

Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
We are looking for a Data Scientist who will work cross-functionally with technical and non-technical teams to mine internal and external semi-structured data to understand consumer demand in individual markets, drive sales through feed optimization, influence supply, design and deploy long-term merchandising strategies.
The ideal candidate should be passionate about Wish and e-commerce, be able to conduct market research independently, has a strong analytical and consultative mindset, solid understanding of databases, visualization, and modeling techniques, and the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling data-driven solution to solve business problems.
What you'll be doing:
Conduct quantitative market research for each market, by analyzing external e-commerce web data, understand regional consumer demand, through various text and image mining techniquesAnalyze and generate insights on internal pricing dynamics on the platformIdentify high potential but underexposed product candidates, propose strategies to increase their exposure and boost salesImplement the strategies and set up A/B test experiments to gauge the impact, and reiterateEstablish scalable, efficient, and automated processes for data-driven regional merchandising strategies
Qualifications
Bachelor's or advanced degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Economics or similar)Hands-on experience in predictive modeling and analysisComfortable with Python, R, or Matlab experienceHands-on experience writing complex SQL queries using MySQLExperience with Tableau, Superset or other visualization toolsExperience with Unix/Linux environment
Preferred Qualifications:
Experience in e-commerce companies working on mining product listing dataHands-on experience in deep-learning models that involve text and image matchingExperience in designing and running A/B testsAnalytical mindset and ability to see the big picture and influence othersDetail-oriented and must have an aptitude for solving unstructured problemsAbility to work effectively in a multi-task, cross-functional, and high volume environmentAbility to be adaptable and flexible in responding to deadlines and workflow fluctuations
#LI-BD1
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.