or apply directly on Twitch's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Twitch's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Twitch's roles list one
- Ghost-job risk at Twitch
- high 47 stale, 3 reposted of 55 open
- Hiring momentum
- 95 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Twitch's own greenhouse board since 2026-08-03. Full hiring picture for Twitch.
About this role
As a Data Scientist on the Monetization team at Twitch, you'll focus on building products that help creators earn revenue, such as Subscriptions and Bits. Your day-to-day will involve applying causal inference methods, designing and analyzing A/B experiments, and collaborating with various teams to translate business questions into actionable insights. You'll also be responsible for developing models for pricing and revenue optimization and maintaining analytical tools and dashboards.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Twitch as an employer.
What you need
- 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
Nice to have
- 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)
What you get
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Worth weighing
- No specific mention of remote work flexibility beyond listed locations
- Salary range provided, but final compensation varies based on experience and location
- The role requires comfort with imperfect data, which may indicate challenges in data quality
Summarised from Twitch's posting. Read the full original.
Listed by Twitch on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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