Data Scientist, Amazon

• 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
• 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
• 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

• This position will remain posted until filled. Applicants should apply via our internal or external career site