Data Scientist
Join Twitch's Monetization team as a Data Scientist to apply causal inference methods and optimize revenue for creators.
Skills & Technologies
Requirements
- Experience
- 3+ years
- Education
- Master's degree
Benefits
Joblaze summary
In this role, the Data Scientist will focus on enhancing monetization products like Subscriptions and Bits by applying causal inference methods and conducting A/B tests to inform pricing and segmentation strategies. Proficiency in SQL and experience with Python or R are essential, alongside a strong foundation in experimentation and causal analysis. This position is ideal for candidates with a background in economics or a related quantitative field, particularly those who thrive in collaborative environments and can communicate effectively with diverse stakeholders. The team is dedicated to empowering creators on Twitch, making this a dynamic opportunity in a fast-paced setting.
Joblaze insights
- Listed 18 days ago on Joblaze — tracked directly from Twitch's career page.
- Twitch has 61 other open roles including People Partner, People Partner, People Partner.
- 2585 active Python roles on Joblaze right now.
- 1167 active SQL roles on Joblaze right now.
- 150 active R roles on Joblaze right now.
- Salary band is below the typical range for Data Science roles (median ~$180,000).
- Pays more than 37% of the 1513 salaried Python roles we track (median $160,000).
Quick facts
- Is the Data Scientist role remote?
- It's hybrid — Twitch expects some on-site time in New York City.
- What's the salary range?
- Twitch lists $136,000–$212,800 for this role.
- How much experience is required?
- At least 3 years of relevant experience for this Data Scientist role.
- Where is the role based?
- Twitch is hiring for this position in New York City.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Dashboards, A/B Testing, SQL, Python, causal inference, R.
- What seniority level is this role?
- Twitch targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist role at Twitch.
From the original posting
About Us
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them.
You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.
This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.
You can work in San Francisco, CA; New York, NY; or Seattle, WA
You Will:
- Apply causal inference methods where experimentation isn't feasible
- Develop models and analyses that inform pricing, segmentation, and revenue optimization
- Design, run, and analyze A/B experiments
- Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks
- Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making
You Have:
- 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field
- Proficiency in SQL
- Proficiency with Python or R
- Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods
- Strong communication skills across technical and non-technical stakeholders
- Comfort building dashboards and recurring reporting
Bonus Points
- Master's or PhD in Economics, Statistics, or a related quantitative field
- Industry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments)
- Hands-on experience with Airflow, SageMaker, or deploying ML models in production
- Familiarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Job ID: TW9226
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.