Data Scientist

Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality- great-tasting- and nutritious foods- earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products- we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
We are on a journey to create a digitally-powered- agile-enterprise. At the heart of this journey is our ambition to create an enterprise where powerful AI solutions augment humans and where small mission-based teams are in relentless pursuit to solve tangible problems for our consumers- customers- and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python- R- Spark- React- Tableau- Snowflake- Azure- and others to solve the problem on hand. In-turn- you can look forward to high-impact challenges- no bureaucracy- entrepreneurial small teams and an unique opportunity to create and build something bold- awesome- and impactful!
WHAT YOU’LL DO
As a Data Scientist you will be a core member of one of our nimble- cross-functional teams – disrupting from inside of a global powerhouse.  You will help build our next generation of advanced analytics products using AI- Data Science- and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:
Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers- analysts- developers- and sometimes chefs.Create repeatable- interpretable- dynamic- scalable models as the heart of new statistical products.Engineer new features by using your business acumen to improve analytical models.Collaborate to refine best practices and deploy best-in-class solutions.Evangelize the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science- Computer Science- Engineering- or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering- time series- classification- regression- anomaly detection- simulation- and optimization queries.You have an aptitude in Big Data technologies like Hadoop- Spark- or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products- we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers- consumers- and communities around the world tomorrow.  Here at Kraft Heinz- we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day- we are transforming our industry.  We are creating the future of food- and we invite you to join us.
#DICE


Staff Data Scientist

Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, and nutritious foods, earning us a spot on 97% of American household tables. As the guardians of our beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally.
Today, The Kraft Heinz Company is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food and beverage industry. We are on a journey to create a digitally-powered, agile-enterprise – all while honoring a 150-year heritage and a portfolio of 200 iconic brands. At the heart of this journey is our ambition to create an environment where powerful AI solutions augment humans and where small mission-based teams relentlessly pursue tangible solutions for our consumers, customers, and the enterprise.
That ambition requires us to create a modern cloud and data ecosystem - a one of its kind that becomes the neural network of our company. We want you to bring your tech-self to us. We use Python, R, Spark, React, Tableau, Snowflake, Azure, and others to solve our business challenges. You can look forward to high-impact, no bureaucracy, entrepreneurial work – done in small teams – and a unique opportunity to create something bold, something awesome, something inventive -- and something globally impactful.
What you’ll do
As a ‘Staff Data Scientist’ you will be lead data science function all across-multiple functional teams – redefining from inside of a global powerhouse. You will help build our next generation of sophisticated analytics products using AI, Data Science, and Machine Learning. Examples of problems you will solve include helping R&D resolve next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Own the data science function across various agile podsWork with the data scientists on your team to develop, own, implement and deploy innovative machine learning algorithms and other predictive models which will service as a guiding light for change and improvement.Work with your data science team and own selection, enhancements and integration of exciting technologies (AI/ML, Automation, Optimization) focused on fundamentally redefining the way in which we operate.Work with the data scientists on your team to engineer end to end solutions and bring creativity and expertise to business challenges.Mentor other Data Scientists and Associate Data Scientists and drive technical standard processes.Serve as an integral member of your Agile pod as a leader or advisor through identifying and solving complex challenges.Evangelize the value of data-driven decision-making.Manage and lead the best data scientists in the CPG industryContinue your growth and serve as a leading guide in the Data Science community.
Who you are
You have a Bachelors in Data Science, Computer Science, Engineering, or Statistics with demonstrated ability. Advanced degree in Data Science or related field ideal.You have mastery in Python and/or R and other languages.You have expertise in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have experience building owning full cycle end to end model deployment.You have confirmed expertise in Big Data technologies such as Apache Spark, Snowflake and/or Hadoop.You have validated expertise in cloud technology like Azure, AWS, Cloudera, GC.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow. Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry. We are creating the future of food, and we invite you to join us.


R D Machine Learning Scientist

Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for better.
Our mission is to fuel human potential through optimal sleep. In 2019, we launched our temperature-regulated smart bed, the Pod. It's an absolute game changer, improving people's health and happiness by changing the way they sleep. Eight Sleep has partnered with Barry’s as their Official Sleep Fitness Partner. We actively collaborate with Justin Medeiros, 2021 Crossfit Champion, and Red Gerard, U.S. Snowboarding Olympic Gold-Medalist, as well as the Mercedes Formula One team. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures, and Y Combinator, we’ve raised over $150 million to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2019 and 2022.
That is why Eight Sleep is looking for an innovative ML Scientist to help us expand our product features. You will be responsible for designing next gen ML models and algorithms that will enable better sleep and better health for our members. To do so, you will work closely with a highly cross-functional R&D and production team.
We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users.
How you'll contribute
Design next generation health sensing algorithms using cutting-edge ML techniquesWork with the R&D team to rapidly develop system concepts to prototypePerform data analysis, signal processing, data cleaning, and algorithm development to assess feasibility and to implement solutionWork with the software and product teams to ship solution into productionAdvance the field of ML algorithms for sleep health, and publish your work at top conferences journals
What you'll need to succeed
MS/PhD in Computer Science or Engineering with 5+ years of industry experience in the field of health sensing and health technologies.Excellent Python (e.g. SciPy, Pandas, Jupyter) programming and object-oriented design skills with experience working with commonly used ML/DNN frameworks - (Tensorflow, pyTorch, fastai).Strong experience designing, training, and evaluating neural network architectures with a good understanding of statistical techniques and concepts (signal separation, spectrograms, autocorrelation etc.).Experience working with time-series data from physiological signals. Knowledge of the underlying human physiology is a plus.Strong command of signal processing and general algorithm development techniques.
Why you’ll love Eight
We’re a tight-knit, passionate team that’s working to improve people’s lives by improving the way they sleepLeadership is committed to employees’ wellness and career developmentYou’ll get a better night sleep every night; all full-time employees receive the PodFlexible, generous PTO 100% employer contribution for medical/dental/vision insurance
At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. 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.


Mid Level Data Scientist P C Insurance

Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions.  Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage.  Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Experience with data definition and manipulation in SQL (e.g., Hive, Snowflake, etc.)Experience with time-series and geospatial feature engineeringExperience modeling with GLMs, decision trees, gradient boosted trees, and the Tweedie distributionExperience building, scripting, and evaluating models in a Python environmentExperience collaborating with a team coding project using GitKnowledge of the insurance industry and common metrics (coverages, exposures, pure premium, etc.)
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Mid Level Data Scientist Financial Services

Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions.  Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage.  Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Experience with Python implementation of data science models.Financial Services industry experience.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $88,200 - $158,900* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Director Data Science

The Director of Data Science plays a leadership role in technology and is responsible for the creation of new data science capabilities for the business by envisioning and executing strategies that will drive direct business value.
This role requires detailed understanding of the role that Data Science can play in the retail business. You will work along-side business, product and engineering leaders to identify the application and deliver of advanced analytic data modeling systems and machine learning to all areas of the business.
The ideal candidate will have a passion for connecting delivery to business value, a strong pedigree in retail application of data science and a knack for illustrating the art of possible when it comes to innovative application of AI & ML.
Strategy & Vision:
Set the mission and vision for the organization and connecting it to overarching business and technology strategies and outcomes.
Partner with Product & Architecture to plan, create and deliver business value through relevant application of Data Science and Machine Learning across all DSG capabilities.
Form and manage strategic partnerships both internal and external to support the business.
Responsible for departmental planning, organizational design and budget.
Set organizational KPI and measures, driving visibility and accountability
Coaching, Support & Enablement:
Plan, assign and supervise the work of others.
Provide oversight, guidance and direction in the career growth of teammates.
Fields questions from other product teams or support teams
Communicate the company’s technology strategy to stakeholders including investors, executives, and team members.
Advocate, evangelize and implement modern data science and engineering practices.
Lead and Grow a team of Data Science Managers and Data Scientists.
Delivery & Execution:
Direct the growth and application of Data Science across all lines of business at DSG.
Foster collaboration between local and abroad development teams to drive consistency across all departments.
Partner with product and business partners to understand the needs of the company and illustrate the art of possible in application of Data Science & Advanced Analytics
Collaborate with the executive team to help translate business requirements into technical needs and actions.
Lead workstreams that require cross-functional squads that include data scientists, data engineers, analysts, and product managers
Learning:
Work across the business to understand and assess development opportunities that align with our vision and deliver value to our customers
Manage vendor relationships with domestic and international suppliers while also holding them accountable to product requirements and quality specifications
Keep abreast of new technologies for the purpose of recommending changes in existing programs or new programs warranted by such developments
Participate in the initial production phases of product/process design and all subsequent inquiries and problems


Data Scientist

At Higher Ground Education, we are radically reinventing education. We believe that for a student to live their life fully, we need an education model that fosters independence and develops competent, capable, action-oriented thinkers and change agents. To achieve this, we are using technology as an enabler for the timeless core principles of Montessori education. We are committed to making high-quality, modernized Montessori education available to all. To that end, we are looking for a capable engineer for the following role.
 As a staff Data Scientist, you will be helping to drive innovation through many data-driven processes. You will be responsible for collecting, analyzing, and presenting data, including providing actionable intelligence gathered from multiple disparate data sets. The ideal candidate possesses the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. This position requires the synthesis of new information to generate intelligence that allows us to drive innovations forward. The ideal candidate is willing to learn about new technologies and concepts and can effectively communicate their knowledge to others. This candidate will also aid in developing a data analysis pipeline that will lend itself to automation while utilizing engineering and statistical techniques. This position is full-time and remote.
Your Responsibilities:

Aggregate and analyze data from multiple sources to identify trends and patterns.
Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.
Development/programming of tools to improve pipeline efficiency, automate repetitive tasks, and implement new analysis tools/techniques.
Generate ideas and support building data tools to automate analysis processes.
Interpret data and analyze results using statistical and analytical techniques to provide ongoing reports and visualizations.
Design and prototype data analytics pipelines that effectively summarize data for identifying trends and correlations.
Gather data from primary or secondary data sources to identify and interpret trends
Apply problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.

Basic Qualifications:

A bachelor's degree in a technical area with two years of hands-on professional experience.
Proficient in Microsoft Excel and PowerPoint.
Knowledge of techniques for gathering, cleansing, and transforming data
Experience with data science toolkits/languages such as Python/R, Scikit-learn, PyTorch/TensorFlow, Matplotlib, NumPy, C++, or Python.
Familiarity with data visualization tools like Tableau and PowerBI
Knowledge of best practices in data analysis
Excellent interpersonal and communication skills.
Experience documenting processes and maintaining data records.

Preferred Qualifications:

A master's degree in Data Science
Proficiency using query languages such as SQL
Applied statistics skills, such as distributions, statistical testing, and regression.
Experience with Agile development practices

We Offer:

A competitive salary
Health, dental, and vision insurance
Paid time off and paid holidays
100% tuition discount for two children at any school within our network
A network of supportive peers and mentors who regularly share best practices
Career growth and promotion opportunities


Staff Data Scientist Search Inference

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7 million accommodations and 40,000 handcrafted activities, all powered by local hosts. An economic empowerment engine, Airbnb has helped millions of hospitality entrepreneurs monetize their spaces and their passions while keeping the financial benefits of tourism in their own communities. With more than half a billion guest arrivals to date, and accessible in 62 languages across 220 countries and regions, Airbnb promotes people-to-people connection, community and trust around the world.
About the Team:
Airbnb is a global platform that connects travelers and hosts from over 81,000 cities. Our mission is to enable a world where anyone can belong anywhere. Using data to help ensure a world class experience for our users is critical to our mission.
We are looking for talented Data Scientists to join our Search & Personalization Data Science team. The team works on building a world class search experience for our guests, from the homepage, to search and listing pages, and checkout. You will join a team with 3 other data scientists, responsible for building the data products, inference frameworks, and intelligence to create a personalized search experience.
Responsibilities:
You will work centrally, with other data scientists, partnering cross-functionally across the search experience. Your initial focus areas in the team:
Developing a framework for evaluating the performance of supply categories in search and partnering with product, marketing, engineering and operations to create new categories.
Operationalizing a system to detect suboptimal user paths in the product leveraging user behavioral logs.
Developing a framework of conversion drivers, connecting input metrics to outputs, to inform strategies, decision-making, and track progress on team goals.
Providing technical mentorship to other data scientists, holding a high bar for data products architecture.
Minimum Qualifications:
5+ years of relevant industry experience
Expert in at least one programming language for data analysis (Python or R)
Experience with inference and machine learning techniques
Experience in high-dimensional data modeling
Proven ability to succeed in both collaborative and independent work environments
Passion for scaling data science work
Preferred Qualifications:
Experience working on a consumer search product or recommender systems
Experience with causal inference and structural models
Strong skills in SQL and distributed system optimization (e.g. Hadoop, Hive, Spark, Presto)
Experience with an ETL framework like Airflow
Python skills preferred
Experience with technical mentorship of other data scientists
Experience with prototyping and writing production code
Experience with system design
The starting base pay for this role is between $180,000 and $245,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Belonging & Accommodations
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.
Apply now


Senior Data Science Inference Payments

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.
Airbnb has become a platform that connects travelers and hosts from over 81,000 cities around the globe. To power that community, Airbnb is building a world-class payments platform that currently supports over 190 countries, 70+ currencies, connects dozens of payment providers, and transmits billions of dollars per year.
Our goal? To empower people and communities to participate in our global marketplace and innovate on a future where payments on Airbnb can be completely trusted, transparent, and simple. As our platform grows, the payments team is building a scalable foundation to support global scale, helping the company grow by bringing new markets and demographics to the platform, protecting our community from bad actors, and enabling new business products to thrive by providing easy to use and trusted payment experience. Our data science team is working to provide statistical insights and intelligent data products that will enable us to scale our platform and empower our entrepreneurs all around the world.
About the Role:
We are looking for a passionate data scientist to identify and execute scalable ways to improve our platform’s payment experience and to bring a scientific approach to product decision making. This data scientist will perform careful hypothesis generation, causal inference testing, and model development that will drive payment strategies on our platform. Our Inference Data Scientists have deep understanding of causal framework development, statistical analysis/modeling, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They also have keen business sense and are able to utilize their findings to inform and drive our product roadmap. Examples of projects you may work on include, development of novel metrics and framework to identify and remediate payment problems, quantification of the impact and informing the structure of new payment products, and building models to optimize guest, host, and business outcomes.
Responsibilities:
Define novel metrics and their relationships to measure business success.
Work with cross-functional partners to design and execute controlled experiment/quasi-experimental methods to quantify the effects of product changes.
Develop methodologies to explore and exploit growth opportunities and build data products to optimize product/operational strategies in the payments sphere.
Help our business partners understand metric trade-offs and influence business decisions.
Qualifications:
An ideal candidate should possess a good balance of statistical/technical skills, business acumen, and communication skills. A driven individual who’s keen to solve hard business problems is desired.
5+ years in industry experience and a Master's degree/PhD in a quantitative field
Skilled in statistical programming (Python or R) and database usage (SQL)
Deep knowledge of casual frameworks (including experimentation and quasi-experimental methods) and statistical modeling
Ability to solve business problems by identifying and using appropriate methods and models
Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
Ability to translate complex findings and results into a compelling narrative
Payments/Risk domain expertise is a strong plus
The starting base pay for this role is between $152,000 and $202,500. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in  states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously  evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Belonging & Accommodations
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.
Apply now


Data Scientist Usa

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

We’re most proud of:
*Offering life-changing career opportunities to talented software professionals across the Americas.
*Building highly-skilled software development teams for hundreds of the world’s greatest companies.
*Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
*Our 4.7-star rating on GlassDoor.
*Our client Net Promoter Score of 64, twice the industry average.
*Sustained growth of 100% - 200% per year.

The Position:

We're looking to hire several mid-level and senior Data Scientists to join our team. You'll work with our incredible clients in one of two ways:

Team Augmentation / Staffing:  You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.

Design & Build:  You will work on a FullStack Labs product team to build and deliver a product to our clients.

What We're Looking For:

As a Data Scientist, you'll be working in a team responsible for Reports and Analytics for the highly loaded system and helping the team to achieve extraordinary results to impact the product and deliver the best solution to the market.
3 years of experience in databases in SQL Server or Oracle and ETL development.
3 years of experience in OOP and/or Functional Programming fundamentals, Design principles.
Track record of anticipating technical problems that will fall out of major projects and designing solutions to overcome those problems.
Experience in working with RESTful APIs.
Experience in production support and troubleshooting.
Self-organized and responsible person with experience in a distributed team.
Good level of speaking and written English.
Nice to have:
Experience in Ruby.
Experience in AWS/Azure.
Experience with Azure Logic Apps, SQL Server, ETL.
JavaScript experience (React is preferred).
Experience with web tooling (Webpack, Jest, NPM, Babel, etc).
Bachelor’s Degree in Computer Science, a related field, or comparable work experience.

Benefits:

Competitive Salary.
Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
100% remote work.
The ability to work with leading startups and Fortune 500 companies.
Health, dental, vision insurance.
401(k) w/ 4% match.
Virtual company events each month.
Ample opportunity for career advancement.
Continuing education opportunities.

FullStack Labs is proud to be an equal opportunity workplace. 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 you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process.

 Learn more about our Applicants Privacy Notice.


Director Of Data Science

What We’re Looking For:
2U believes in the power of higher education to unlock human potential and help address society’s critical needs. With 45 million registered learners in 196 countries and a catalog of 4,000 digital programs offered by 230 partners (including 38 of top 50 universities in the world), our platform connects learners who want to learn with institutions who have best-in-class learning content. Our mission is to build the world’s best consumer centered higher education marketplace.
The Data Science team is uniquely positioned to help 2U achieve this mission:
A seat at the executive table: The Data Science team reports directly to the Chief Revenue Officer who leads Product, Marketing, and Data Science.
One-of-a-kind dataset: Our dataset spans the learner lifecycle (from discovering our learning products, through the applications process, student lifecycle, and graduation) across MOOCs, short courses, bootcamps, and degree programs for over 45 million learners.
Expansive and strategic remit: Data Science is chartered to relentlessly optimize 2U revenue operations by identifying and enabling product, marketing, and operational innovations through advanced analytics, experimentation and predictive modeling.
As a Director of Data Science: Growth, you will drive data science partnership with business leaders on the Marketing and Product teams tasked with making investment decisions to drive revenue growth and margin efficiency. You will have an opportunity to establish a roadmap and vision to drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. We will rely on your leadership to expand our toolkit, enrich the strategic signal of our data, and lead a team that will use these core assets to have a big impact on the entire company’s productivity. This is a high-impact role for a self-starter in which you’ll have a direct influence on how marketing and product decisions are made. You will play a key role in spurring innovations to drive growth, engagement, and retention at a critical moment in 2U’s history.
Responsibilities Include, But Are Not Limited To:
Design technical and impactful roadmaps for the business, and lead seamless execution of them.
Be a trusted thought partner for business teams in the Revenue organization.
Collaborate with and influence Marketing leadership so that your team’s work directly impacts marketing strategy.
Managing a core team of data scientists and creating opportunities for their career growth.
Thoroughly understanding the data. This means both leading a team that performs analysis, but also getting your “hands dirty” to analyze data.
Communicating insights clearly and effectively to cross-functional partners of varying technical levels.
Contribute towards advancing the Data Science discipline at 2U, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing data folks.
Things That Should Be In Your Background:
A self-starter with a strong sense of ownership and the determination to initiate and lead projects to completion in a scrappy environment.
Experience leading high performing Data Science teams, with 3+ years people management experience.
Experience instilling a culture of ownership, collaboration, and results.
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment.
Track record of delivering analytics products, influencing marketing and product decisions, and providing expertise and direction on analytics, data science, experimental design, and measurement.
Statistical knowledge and ability to guide the team to perform analysis using advanced techniques when needed, including sampling methods, causal inference, predictive modeling, and forecasting. Knowledge of when to use which statistical approaches, and drawbacks of possible methodologies.
Advanced degree in Statistics, Mathematics, Physics, Economics, or related quantitative field.
Experience running online controlled experiments at scale.
About 2U Inc. (NASDAQ: TWOU)
2U is comprised of 3 lines of business: Graduate Degree Programs, Short Course, and Boot Camps. Going beyond traditional learning management systems, we use tech, people, and data to help top universities and enterprise organizations transform in the digital era—and eliminate the back row in higher ed. We support lifelong learning which means thinking beyond a single degree. It means finding ways for students to gain the skills they need to change careers, evolve their expertise, and meet the challenges of the changing world head-on. We help our partners fill those needs—developing new digital education technologies and offerings capable of supporting students at different points in their lives. Whether they need a simple refresher, to learn something new, or to change their career trajectories completely, our partners are there to help them succeed. Together with our partners, 2U has positively transformed the lives of more than 275,000 students and lifelong learners.
2U Diversity and Inclusion Statement
At 2U, we are committed to creating and sustaining a culture that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities of our employees. We strive to offer a workplace where every employee feels empowered by the ways in which we are different, as well as the ways in which we are the same.
Benefits & Culture
Working at 2U means working with individuals that are passionate and mission driven. We collaborate on tough problems to deliver the best outcomes for our partners, students, and each other. You will find team members working together in our open office spaces, gathered in the kitchen grabbing a snack, or taking a break in our game rooms.
2U offers a comprehensive benefits package:
Medical, dental, and vision coverage
Life insurance, disability and 401(k)
Unlimited snacks and drinks
Generous paid leave policies including unlimited PTO
Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break
In Colorado, the anticipated base salary for this role is $145,000.00 with potential bonus and equity eligibility. Note: The final compensation for this position may consider factors including the geographic location where the work is performed (candidate’s assigned office) and prior work experience of the candidate.To learn more, visit 2U.com. #NoBackRow
Note: The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.


Data Scientist

Tech & Data Science
|
Lanham, MDRemote
Data Scientist
Note:  By applying to this position your application is automatically submitted to the following locations: Lanham, MD; Remote
What We’re Looking For:
2U believes in the power of higher education to unlock human potential and help address society’s critical needs. With 45 million registered learners in 196 countries and a catalog of 4,000 digital programs offered by 230 partners (including 38 of top 50 universities in the world), our platform connects learners who want to learn with institutions who have best-in-class learning content. Our mission is to build the world’s best consumer centered higher education marketplace.
The Data Science team is chartered to relentlessly improve all 2U revenue operations by surfacing insights, and identifying and enabling product and marketing innovations leveraging analytics, experimentation and modeling.
As a Data Scientist, you’ll partner with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our learners. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have a direct influence on how product and marketing decisions are made. You will play a key role in spurring innovations to drive growth, engagement, and retention at a critical moment in 2U’s history.
Responsibilities Include, But Are Not Limited To:
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems
Proactively perform data exploration on engagement behaviors to discover future opportunities
Apply modeling and machine learning techniques to business problems, including engagement and retention forecasts and valuation models
Collaborate with cross-functional stakeholders from product, marketing, engineering, admissions, operations, etc., to develop and deploy insights and models at scale
Relentlessly improve data science team operations by providing feedback and mentorship to team members
Present your insights to all levels of the company
Things That Should Be In Your Background:
3+ years of relevant working experience in a quantitative role performing statistical modeling and analysis. (We are open to hiring mid-level to senior candidates for this role.)
Strong statistical knowledge and intuition - ideally utilized in experimentation, predictive modeling, forecasting or other analytics settings
Experience in building real-world machine learning models with demonstrated business impact
Strong SQL and quantitative programming skills in Python or R
Comfort working independently to take ambiguous problems and solve them down in a structured, hypothesis-driven, data-supported way
Excitement about influencing product strategies in a fast-paced, cross-functional environment
Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels
Other Attributes That Will Help You In This Role:
Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field
Experience productionizing real-time machine learning models
Experience with running online controlled experiments at scale
About 2U Inc. (NASDAQ: TWOU)
2U is comprised of 3 lines of business: Graduate Degree Programs, Short Course, and Boot Camps. Going beyond traditional learning management systems, we use tech, people, and data to help top universities and enterprise organizations transform in the digital era—and eliminate the back row in higher ed. We support lifelong learning which means thinking beyond a single degree. It means finding ways for students to gain the skills they need to change careers, evolve their expertise, and meet the challenges of the changing world head-on. We help our partners fill those needs—developing new digital education technologies and offerings capable of supporting students at different points in their lives. Whether they need a simple refresher, to learn something new, or to change their career trajectories completely, our partners are there to help them succeed. Together with our partners, 2U has positively transformed the lives of more than 275,000 students and lifelong learners.
2U Diversity and Inclusion Statement
At 2U, we are committed to creating and sustaining a culture that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities of our employees. We strive to offer a workplace where every employee feels empowered by the ways in which we are different, as well as the ways in which we are the same.
Benefits & Culture
Working at 2U means working with individuals that are passionate and mission driven. We collaborate on tough problems to deliver the best outcomes for our partners, students, and each other. You will find team members working together in our open office spaces, gathered in the kitchen grabbing a snack, or taking a break in our game rooms.
2U offers a comprehensive benefits package:
Medical, dental, and vision coverage
Life insurance, disability and 401(k)
Unlimited snacks and drinks
Generous paid leave policies including unlimited PTO
Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break
In Colorado, the anticipated base salary for this role is $100,000 with potential bonus and equity eligibility. Note: The final compensation for this position may consider factors including the geographic location where the work is performed (candidate’s assigned office) and prior work experience of the candidate.To learn more, visit 2U.com. #NoBackRow
Note: The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.


Senior Data Scientist

Location: Remote in the EU or EST
This is a fully remote position, full-time, with flexible working hours and work arrangements.
About Vic Ai
We're a rapidly growing startup, building software for real-time autonomous accounting and financial intelligence. Our proprietary AI and beautifully crafted UIs combine to give accountants and businesses capabilities they've never had before.
We were founded by three Norwegian entrepreneurs, and are fortunate to have some renowned investors and partners: ICONIQ, Costanoa Ventures, Cowboy Ventures, and GGV Capital.
Our HQ office is located in Manhattan, New York. However, we are a remote-friendly company.
Our company is re-thinking how financial back-office automation and B2B spend works....a mind-meltingly large market. We're a talented, hard-driving team led by experienced entrepreneurs. If you’re an enthusiastic, detail-oriented, curious disruptor, come build with us, you’ll fit right in.
Role
As a Senior Data Scientist at Vic.ai, you will….

Analyze the performance of existing AI models
Suggest improvements to existing AI models and code them
Perform R&D on state-of-the-art AI models to replace existing ones
Work within the MLOPs team to produce ready-for-deployment code
Meet with the CS team and incidents to address feedback from customers using the app

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive new business solutions.

Requirements….

10+ years of experience as a Data Scientist, Statistician, or a Quantitative Analyst
Experience designing and building statistical forecasting models and machine learning models
Experience with cloud platform and its ML tools is preferred
Experience with data visualization tools is preferred
Sound knowledge and understanding of applying Machine Learning, and Deep Learning techniques
Experience with NLP will be a plus
Strong understanding of programming with Python, SQL, and with Notebooks like Jupiter
Understanding of fundamental design principles for building a scalable and highly available application

What we offer....

An exciting work environment operating at the forefront of AI technology development
Competitive salary
401K, health/vision/wellness perks (including health insurance coverage option 100% free for the employee AND family and perks like ClassPass and CitiBike!)
Generous maternity and paternity leave
Virtual team-building events & awesome swag
People-focused culture, adding value and fun to our meetings
Generous vacation time, family and travel-friendly environment
Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment
The opportunity to work remotely, including workstation setup

A team-focused culture. The team builds the product, the business builds the teamAs an employee-first culture, Vic.ai also offers in-person retreats to employees. We love connecting in person as a remote-first company. We make it a benefit to our employees to come together and be able to celebrate our accomplishments, work together in person, and enjoy team-building activities! We hold company retreats multiple times a year to keep our Vic.ai community strong.Check out all the fun we are having @vicdotai on our Instagram page. Also, don’t forget to follow us on LinkedIn to stay up to date on our AI technology and new career opportunities to join our teams.

Acceptance and inclusion for everyone is at the heart of our company. We strive for diversity of thought, culture and background, which connects the entire Vic.ai community.  We are proud to be an Equal Opportunity Employer.


Senior Data Scientist

Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.
Job Overview:
We’re all familiar with the problem. The convoluted incentives of the US healthcare system have yielded ballooning costs in exchange for low life expectancies relative to other wealthy countries. Omada has spent the last eleven years pioneering a value-based healthcare system for chronic conditions to correct this trend by tying revenue to proximal gauges of clinical outcomes. With our incentives in order, we leverage data to empower our care team of health coaches and clinical specialists to coordinate the most effective behavior change strategy for each member of our digital programs.
The Omada Insights Lab exists at the heart of this endeavor by focusing on two key areas of research:

Measuring Healthy Behaviors: Developing and validating innovative measurements of health outcomes to orient internal decisions and to refocus the collective conversation of the digital health industry around metrics that matter.

Coordinating Personalized Care: Sifting through a rich dataset of natural language, readings from connected devices like blood glucose monitors, demographics, and so forth to tailor effective interventions that fit members’ unique circumstances.

As a Senior Data Scientist, you will collaborate with colleagues from a diversity of quantitative, product, operational, and clinical backgrounds to conduct research related to the focus areas of the Insights Lab. For example:

Causal Inference: Detect the incremental value produced by the volume and character of the time our care team spends with members

Natural language processing: Quantify abstract concepts such as rapport and emotional convergence in the dialogue between a member and their coach

Recommendation: Optimize Omada’s impact on the collective health of the population by matching each member to their ideal coach

Your work will change the lives of our members, enrich the jobs of Omada's care team, and, if we play our cards right, make the US healthcare system just a little bit better.
About You:

Deep expertise in statistical methods such as experimental design, regression, causal inference with observational data, time series modeling, and multilevel modeling
Ability to synthesize and incorporate scientific and academic research into analytical approach
Confidence in Python, R, or another analytical scripting language
Some experience with SQL is a plus
Degree in a quantitative field such as statistics, economics, applied math, operations research, engineering, or relevant work experience
5 years of applicable industry experience in a quantitative field, especially in health economics or digital health
A strong desire for impact and a bias for action despite ambiguity. We believe in learning by doing!
You enjoy storytelling and relish teaching and learning from your peers
You can collaborate on Pacific Time

Benefits:

Competitive salary with generous annual cash bonus
Stock options
Remote first work from home culture
Flexible vacation to help you rest, recharge, and connect with loved ones
Generous parental leave
Health, dental, and vision insurance (and above market employer contributions)
401k retirement savings plan
Work from Home stipend
Monthly mental wellness days
Two giftable Omada enrollments per calendar year
...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

Start with Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.

Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.

Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.

Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.

Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.

Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health: Omada Health delivers integrated, virtual care across chronic conditions, a top clinical need for employers and health plans. By combining clinical best practices with the science of behavior change, Omada Health improves member health and reduces the cost of care. Working with over 1,700+ customers — including health plans, health systems, and employers ranging in size from small businesses to Fortune 500s across a wide variety of industries — Omada delivers personalized interventions for diabetes, diabetes prevention, hypertension, and musculoskeletal issues. All programs include integrated behavioral health support. Omada Health’s virtual care programs are clinically supported and evidence-based, with results published in multiple peer-reviewed journals. To learn more, visit www.omadahealth.com.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.


Senior Data Scientist

Hims & Hers Health, Inc. (better known as Hims & Hers) is a multi-specialty telehealth platform building a virtual front door to the healthcare system. Hims & Hers connects consumers to licensed healthcare professionals, enabling people to access high-quality medical care—from wherever is most convenient—for numerous conditions related to primary care, mental health, sexual health, skincare, and more. Launched in November 2017, the platform also offers thoughtfully created and curated health and wellness products. With products and services available across all 50 states and Washington, D.C., Hims & Hers’ mission is to make it easier for all Americans to access affordable care and treatment for conditions that impact their daily lives. In January 2021, the company was listed on the NYSE at an initial valuation of $1.6 billion and is traded under the ticker symbol “HIMS”. To learn more about our brand and offerings, you can visit forhims.com and forhers.com.
As a remote-based Senior Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply machine learning techniques to improve our products and processes. You will also partner cross-functionally with Engineering, Product, Marketing and Operations to build innovative AI/ML solutions in telehealth that drive improvements for the business.
We are looking for someone with strong experience building and deploying machine learning solutions in marketing, business analytics, and operations, someone who has a passion for driving business impact through data science, has strong communication skills and the ability to collaborate well with business partners. If you are excited about being part of the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!
You Will:

Identify opportunities to apply machine learning solutions across marketing, business analytics, and operations
Process data from disparate sources and perform sophisticated analysis to enable decision making by leveraging exploratory data analysis, statistical modeling or machine learning techniques
Drive projects on customer segmentation, customer lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
Contribute to marketing mix modeling and marketing attribution models
Supervise and shape marketing and growth experimentation practices
Partner with engineers and business stakeholders to design, develop and deploy AI/ML products end-to-end to drive business outcomes
Contribute to the development of maturation of data science ecosystems and best practices

At a Minimum You Have:

3+ years of experience in data science along with an MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related fields
Familiarity with the marketing business domain, particularly applications such as customer segmentation, Marketing Mix Modeling (MMM), or marketing attribution is highly desirable
Expert-level knowledge in statistical experimentation or A/B testing principles
Proficient in working with structured and unstructured data from multiple sources by using data science programming languages, such as Python, R, and SQL
Solid background in machine learning and statistical modeling techniques, such as classification, clustering, dimensionality reduction, forecasting, recommender system, and optimization. Knowledge in Deep Learning, CNN’s, GAN’s, Natural Language Processing (NLP) is a plus
Experience of the entire ML model lifecycle (modeling approach ideation, data exploration, model development and prototyping, deployment, monitoring and iteration)
Experience with cloud-based machine learning platforms, such as GCP
Results-oriented with strong project management and communications skills

You'll Get:

An open culture where we always seek improvement and cherish your input
Great compensation package with equity compensation

Unlimited PTO (10 holidays off), Mental Health days (1 day off per quarter)
High-coverage medical, dental & vision

Mental health & wellness benefits
Offsite team retreats
Access to Amazon HIMS Store to order any additional equipment to ensure you have the gear you need

Employee discounts on hims & hers & Apostrophe online products, and Apple Store
$75 monthly connectivity stipend (phone/internet)

Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.


Junior Data Scientist

We're hiring a junior data scientist to help us build the future of media measurement.
What you'll do in your first 6 months:
Onboard new clients onto Recast's platform and work hand-in-hand with them to set priors, interpret their results, and plan experiments to validate the model.
Develop and manage data pipelines in R
Perform complex data analyses and present the results to clients to interpret the results of the Recast model
Things you probably have experience in:
Use of R for data cleaning and exploratory data analysis
Basic statistic and experimental methods
Presenting results of your analyses to both technical and non-technical audiences
2+ years of experience working as a data analyst
Bonus points:
Marketing data science and media performance measurement
Partnering directly with marketers to shape budgets and structure tests
Experience with Bayesian statistical modeling
Things that should excite you that might scare off other folks:
Working with a team of math-loving statistics nerds
Working directly with marketers on applying modeling result to marketing strategy
Exploring the output of a complex statistical model with over 30k parameters
Contributing directly to product direction and business strategy
Opportunity for ownership in a fast-growing company at the cutting-edge of a multi-billion dollar industry
As a junior data scientist you’ll get to work with some of the biggest brands in the world, helping them measure the effectiveness of hundreds of millions of dollars of marketing spend, forecast future performance, optimize budgets, and plan experiments.
Note: Recast is committed to building a diverse team so if you are from an under-represented background in tech (e.g., women, non-white, etc.) please apply even if you don’t necessarily check all of the boxes here.
While Recast is officially based in the US, we're a fully remote team (one founder lives in Brooklyn, the other in Mexico City).
If this sounds interesting to you, email us with a bit about yourself and any relevant linkedin / github links / resumes at jobs@getrecast.com.


Junior Data Scientist

Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
Advanced Analytics & Modeling
From automating claims processes to optimizing marketing tactics to designing effective chatbots, Advanced Analytics & Modeling (AA&M) develops predictive analytics tools and provides data-driven insights that inform strategic decision making. By leveraging AI, machine learning and other advanced analytics techniques, AA&M increases efficiency and drives profitability across Liberty Mutual. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow.
The Junior Data Scientist gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This role is part of the Capacity & Forecasting team, which provides staffing guidance to the Global Retail Markets US Service and Claims organizations, including predicting the amount of incoming calls/claims in the future.
This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
Responsibilities:
Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
Assists in customizing analytic solutions to specific client needs.
Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
Engages with the Data Science community.
Participates in cross functional working groups.
Job Specifications:
Reference:  2022-52465
Category: Analytics
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$99,000.00-–-$115,000.00-/-Year
Education Level:
 Travel: As Needed


Sr Data Science Manager Core Data Science Build

About the role
Shopify is like an operating system for a merchant’s business. Like an operating system, it provides a lot of what each merchant needs out of the box, but merchants rely on the ability to customize Shopify to meet their particular needs. Those customizations are built by first and third party developers who make apps, themes, and extensions that virtually every merchant uses to power their business.
The mission of the Build team is to provide tooling, capabilities, and infrastructure to make all commerce developers highly productive and to enable them to solve problems for merchants globally.
We’re looking for a strong leader with a proven ability to partner with and be a part of product leadership teams.The Senior Data Science Manager will own projects whose scope impacts multiple disciplines and domains at Shopify. They are responsible for deliverables that have directional implications on multiple product or service lines in which they operate, and to build a strong data culture around them along with the individuals and leaders that report into them. Specifically, the Senior Data Science Manager will:
Define and guide the short-term and long-term data strategy for Core Data Science - Build
Partner with Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale
Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc)
Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies
Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment
Collaborate with peer leaders in the product line Data Science team, and the broader Data organization, to improve and drive the group-wide Data Science & Engineering vision
Qualifications
Been a leader in multiple tech companies where analytics on top of massive data sets drives product & business decisions
A demonstrated track record of attracting top data/analytics talent, developing high-performance teams, and a knack for keeping top talent happy, challenged, and impactful
Previously managed other managers and can oscillate your leadership style relative to the needs of individual contributors that are also on your team
Exceptional problem solving and analysis skills combined with the ability to synthesize and effectively communicate findings to both technical and non-technical stakeholders
A product mindset that enables you to get to the root of problems faced by customers and users and to create data solutions and products to solve these challenges
Previous experience with developer ecosystems a plus
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Staff Data Scientist Checkout

About the role
The Core Data Science Checkout teams combine leading-edge analytical techniques with strong business & product acumen in order to drive better decisions and outcomes for Shopify’s merchants.
They work closely with product partners at every step in the decision-making lifecycle to ensure the best possible checkout experience for every sales channel of digitally native merchants of any scale.
As a Staff Data Scientists, you will partner with Product and Engineering to develop experiments and data products, with a focus on solving important problems rather than using specific tools. We are looking for talented data science leaders who can help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7+ years in a data science role solving large-scale, high impact business problems
Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture within your team
Extensive experience in product analytics, experimentation, metrics research, and working with engineers on instrumentation and robust data pipelining
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Deep understanding of advanced SQL techniques
Experience working with various levels of business stakeholders, from c-suite to Data Science senior leadership
Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
Experience creating data product strategies, building data products, and continued iteration after launch
Experience launching productionized machine learning models at scale is a plus
Extensive domain experience in e-commerce, marketing or SaaS is a plus
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Staff Data Scientist

OfferUp is looking for an experienced Staff Applied Data Scientist to help build data science and machine learning solutions while helping to lead and build our Data Science and ML team. The Data Science team is foundational for building the next generation of OfferUp and helping our customers connect with the deals and items they are looking for quickly and without friction. As a Senior Data Scientist, you will partner with all product areas, adding insights and intelligence to support Personalization, Trust & Safety, and Search & Discovery.
As an engineering leader you will direct and influence technology and design decisions, and partner with our product leaders on building and delivering on the Data & Personalization roadmap.
This role is @Remote in Chile, Columbia, Costa Rica, Guatemala, Mexico, Peru.
Responsibilities

Lead a team of Data/Applied Scientists in achieving state of the art applied machine learning solutions.
Own, oversee, and delegate the design, architecture, development, testing, deployment, and delivery of large-scale NLP, CV, and classical machine learning solutions capable of making real time and batch decisions. Examples include Multi-class Classification of text and images, specialized text extraction, semantic understanding, improved search and retrieval, etc.
Develop members on the team, helping them advance in their careers
Champion operational excellence, establishing metrics and process for regular assessment and improvement of models and solutions which are tightly aligned with rest of the engineering systems
Keep the team up to-date with latest applied research solutions in NLP and CV
Establish standards of model updates, detecting model drift and performance and setting up benchmarks of excellence
Operate strategically and tactically
Exceptional written and verbal communication
Collaborate with Product and Engineering leaders to scope, identify, and refine data science requests

Requirements

5+ years of building and shipping ML models and data solutions with quality
3+ years of professional software development in languages such as Python, Java
Experience and API development
Expertise in querying and retrieving data using SQL from large data systems
Ph.D. or Master’s Degree in Computer Science, Mathematics, Statistics or a related technical field OR Bachelor’s degree and relevant work experience
Expertise in classical NLP methods (POS tagging, NER, n-grams, keyword extraction) as well as deep learning methods (semantic analysis, RNNs,  LSTMs/GRUs, transformers)
Knowledge of large language models (BERT family) and their applications preferred
Working knowledge of deep learning methods applied to images highly preferred (CNNs, Transfer Learning)
Expertise in open source deep learning frameworks (Tensorflow/Keras)
Experience in creating microservices and deployment on cloud infrastructure (AWS, Azure, GCP)
Experience in using GPUs for model training desired, deeper knowledge preferred
Actively coached and mentored team members in their careers
Been actively involved in building vision, strategy, and roadmaps
Shipped several large scale projects with multiple dependencies across teams
Ability to communicate across teams and levels
Excellent communication skills both written and spoken (fluency in English required)


Data Scientist Evergreen

Locations: AZ, CA, CO, DC, FL, GA, IL, MD, MI, MN, NC, NJ, NM, NV, NY, OR, PA, TN, TX, UT, VA, WA, WI
Telesign connects, protects and proactively defends companies, customers and the digital interactions between them. With powerful AI that delivers identity with speed, accuracy and global reach, we enable Continuous Trust. Empowering companies to transact, communicate and engage with their customers free of fear, Continuous Trust makes the promise of the digital economy possible.
The Data Science team at Telesign is responsible for both practical and R&D efforts. You will work closely with other data scientists, the product team, and engineering, to ensure a seamless delivery of ML products applied to complex and very large datasets. You will get an amazing opportunity to work on cutting edge data science platforms built on serverless AWS streaming architecture.
Essential Requirements:

Bachelor's degree in Computer Science, Data Science, Information Technology, or related technical or quantitative discipline/field
Curious about business industry and product development
Cross-functional collaboration experience
Ability to research and present to the team on latest technological and data science topics
3+ years of "hands-on" experience in several of the following:

Significant experience in popular Python packages such as numpy, pandas, sk-learn, xgboost
Experience manipulating data in Spark
Previous experience working with SQL and NoSQL databases (such as DynamoDB)
Experience delivering, evaluating, and iterating on models in production
Conceptual understanding of statistical methodologies and many machine learning algorithms with demonstrated application
Data visualization experience with packages such as matplotlib, plot.ly

Preferred Qualifications:

Experience with some of the following specializations: anomaly detection, network analysis and active learning
Previous hands-on experience in Docker and AWS Sagemaker
Familiarity with Tensorflow/Keras

About Telesign:
Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications.
Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation.
Telesign also participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.
#LI-Remote
Telesign does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.


Data Scientist


Lead Applied Data Scientist

Amperity is more than just the leading customer data platform — THE PEOPLE bring energy, smarts, and experience from all different backgrounds, reflecting our commitment to diversity, equity, and inclusion. THE TECHNOLOGY is multi-patented, AI-powered customer data management software that we invented to help solve problems that have been frustrating consumer brands for years. THE OPPORTUNITY is to hitch your career to a rocket ship. We're addressing a critical market need: helping hundreds of leading brands make sense of massive amounts of transaction and engagement data so that they can finally know who their customers are and how to provide the kinds of experiences that delight consumers and move the business metrics that matter. Come help us make it happen!
Interesting Problems
The Data Science team identifies, designs and implements algorithms that lie at the heart of Amperity's products. We focus on a few areas:

Identity matching: deduplicate and group billions of records to their underlying identities daily. Our customers use our predictions to create a personalized experience for their customers at every touchpoint.
Predictive scoring: With unified and enriched customer profiles (thanks to our entity matching algorithms), we build advanced customer-centric models to predict metrics/behaviors such as customer lifetime value, customer churn, product recommendations, and event propensity.
Causal Research: Causal inference helps marketers and analysts understand the impact and causality of marketing outreach. Our product should not only let them create campaigns and run experiments, but also learn the causal impacts of previous actions and provide optimization recommendations to achieve desirable outcomes more effectively in the future.

In addition to algorithmic development, we value sharing our findings with the broader data science community. We publish our research findings in top-tier peer-reviewed publications, engage with fellow data scientists by speaking at internal and external conferences, and also hold several patents focused on our core IP.
About You
We are looking for a versatile data science leader who can go deep to obtain useful insights for our customers (and help others learn to do the same). We are a team that moves quickly and relies on each other to think and work independently, handle ambiguity, and solve hard problems. If you are passionate about developing applied data science methodologies to help the world's most loved brands use their data to better serve their customers, and you are looking for an innovative, collaborative, and fun place to work, you should apply!
Qualifications:

Undergraduate degree in a quantitative discipline (e.g. statistics, mathematics, operations research, engineering, or computer science) with 5+ years of experience analyzing large data sets and building statistical/machine learning models in industry OR graduate degree in a quantitative discipline with 3+ years of similar experience
3+ years of Machine Learning modeling or software development experience in a product company.
Familiarity with a broad set of supervised and unsupervised ML approaches and techniques, ranging from Regression to Deep Neural Networks.
Experience applying ML-based solutions to complex problems in business, science, or engineering.
Proficiency in model development, model validation and model implementation.
Fluency in more than one programming language such as Python, Scala, Java, etc.
Experience with common data science toolkits such as Scikit-Learn, Spark ML.
Proficiency in using query languages such as SQL.
Familiarity with data structures, algorithms, distributed computing (e.g. Spark, Map-Reduce, Presto), and cloud storage systems
Extensive knowledge in at least one of these areas: data integration and cleaning, entity matching, probabilistic databases, predictive analytics for marketing, or causal inference.
Experience building scalable machine learning pipelines
Experience with fast prototyping - quickly translating business problems into data modeling problems, collecting and analyzing datasets, and building ML prototypes before implementing in production.
Ability to synthesize complex ideas for both technical and non-technical audiences. Good communication skills in conducting code reviews, writing technical documentation, and giving internal and external presentations.

Remote Available
Amperity has headquarters in Seattle and NYC. We are also currently hiring in CA, CO, CT, FL, GA, IL, IN, MA, MD, MN, NC, NJ, NY, OH, OR, PA, TX, UT (Subject to change).
Compensation
Base Salary: $180,000 - $240,000; This range reflects the good-faith hiring base salary range for this position. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training.
Stock Options: The opportunity for ownership is an exciting part of Amperity's total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.
Benefits
We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence.
Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
#LI-Remote