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Amazon Flex hiring Data Scientist, New York, New York

Data Scientist

Amazon Flex

New York, New York
Posted yesterday

Responsibilities

Primary Duties

  • Apply causal inference methods where experimentation isn't feasible
  • Develop models and analyses that inform pricing, segmentation, and revenue optimization
  • Design, run, and analyze A/B experiments
  • Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks
  • Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making

Benefits & Perks

Benefits Package

  • Medical, dental, vision & disability insurance
  • 401(k)
  • Maternity & parental leave
  • Flexible PTO
  • Amazon employee discount

Required Skills

Technical Skills

SQL

Full Job Description

Twitch Monetization Team Position
Join the monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like subscriptions, bits, and gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.

This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA. You can work in San Francisco, CA; New York, NY; or Seattle, WA.

You will:
  • Apply causal inference methods where experimentation isn't feasible
  • Develop models and analyses that inform pricing, segmentation, and revenue optimization
  • Design, run, and analyze A/B experiments
  • Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks
  • Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making

Perks:
  • Medical, dental, vision & disability insurance
  • 401(k)
  • Maternity & parental leave
  • Flexible PTO
  • Amazon employee discount

How to Apply

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