Data Scientist

Lensa; San Francisco (CA); On-site; USD 97,000 - 185,000; Full time

Job summary

Lensa is promoting an exciting opportunity for a Data Scientist role at Twitch, focusing on creator payouts and fraud detection. The candidate will collaborate with various teams, utilizing SQL and Python to analyze data and enhance payout processes. This entry-level position supports a dynamic environment that fosters growth within data science.

Benefits

Medical, Dental, Vision & Disability Insurance

401(k)

Maternity & Parental Leave

Flexible PTO

Amazon Employee Discount

Qualifications

• 1+ years of experience in data science or a related field.
• Proficiency in SQL and Python.
• Strong communication skills across stakeholders.

Responsibilities

• Analyze and evaluate policy changes affecting payouts.
• Own reporting and insights related to creator earnings.
• Maintain and validate pipelines for analytics.

Skills

SQL

Python

Causal Inference

Communication

Dashboard Creation

Education

Bachelor's degree in a relevant field

Tools

Airflow

Sagemaker

Job description

2 days ago Be among the first 25 applicants

Lensa is a U.S. career site that helps job seekers discover job opportunities. We are not a staffing firm or agency. We promote jobs on behalf of our clients, which include employers, recruitment agencies, and marketing partners.

Description

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

If you have questions about this posting, please contact [e-mail]

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

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