1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Pay found in job post Retrieved from the description. Base pay range $97,500.00/yr - $185,000.00/yr Lensa is the leading career site for job seekers at every stage of their career. Our client, Amazon, is seeking professionals in San Francisco, CA. Apply via Lensa today! Description If you are interested in this position, please apply on Twitch's Career site 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 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. You can work in San Francisco, CA; Irvine, CA; New York, NY; or Seattle, WA You Will 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 Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount Basic Qualifications 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 Preferred Qualifications Hands-on experience with Airflow, Sagemaker or deploying ML models in production environments Strong familiarity with econometrics Contribute to machine learning efforts in fraud or churn prediction Experience Ideating, executing, and analyzing A/B tests. Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Lensa by 2x Get notified about new Data Scientist jobs in San Francisco, CA . 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