Data Scientist, Twitch

• This role is well suited for someone early on in their data science career who is eager to take ownership of high-impact, cross–functional projects and grow into a senior role.
• You’ll need to be comfortable with writing SQL, working with imperfect data, and flexing into data workflows when data engineering coverage is limited
• 1+ years of experience as a data scientist, data analyst, or a related field
• Proficiency in SQL
• Proficiency with Python or R
• Understanding of Causal Inference concepts (ex/ DiD, matching, IPW, experiment design)
• Strong communication skills across technical and non-technical stakeholders
• High level of comfort creating dashboards

Desirable

• We’re looking for a Data Scientist to join the Money team at Twitch, which supports the systems behind creator payouts, payments infrastructure, and fraud detection. In this role you’ll focus on Payouts. Payouts is a high-leverage area that shapes how and when creators are paid and payout eligibility
• You’ll work closely with product, engineering, finance, legal, and data partners to measure and refine our payout-related programs like the Plus Program and support new monetization initiatives to expand who can monetize on Twitch. While many changes are policy driven rather than AB tested, they require thoughtful measurement, reporting, operations, and causal reasoning
• Analyze and evaluate policy and program changes that affect how creators are paid
• Own reporting and insights related to payout eligibility, earning, and program performance
• Partner with cross-functional stakeholders to inform product and business decisions
• Write, maintain, and validate pipelines to support recurring analytics and reporting
• Apply causal inference methods to estimate the impact of payout changes