# Data Scientist

**Company**: Twitch
**Location**: Seattle, WA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $136,000-$184,000 USD
**Category**: IT
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/twitch/jobs/8625664002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dca08a71-fdb

## Description

## About the Role

Join the Monetization team at Twitch, where we build products that help creators earn a living on the platform. You will work on products like Subscriptions, Bits, and Gifting, and make pricing and packaging decisions.

You will partner 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. This role requires a strong economics or causal ML foundation to apply rigorous statistical thinking to real product decisions at scale.

## Responsibilities

- 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

## Requirements

- 3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative field

- Proficiency in SQL

- Proficiency with Python or R

- Strong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methods

- Strong communication skills across technical and non-technical stakeholders

- Comfort building dashboards and recurring reporting

## Nice to Have

- Master's or PhD in Economics, Statistics, or a related quantitative field

- Industry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments)

- Hands-on experience with Airflow, SageMaker, or deploying ML models in production

- Familiarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)

## Benefits

- Medical, Dental, Vision & Disability Insurance

- 401(k)

- Maternity & Parental Leave

- Flexible PTO

- Amazon Employee Discount

## Skills

### Required
- SQL
- Python
- R
- causal inference
- experimentation
- data analysis

### Nice to have
- Airflow
- SageMaker
- ML models
- modern causal ML methods

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/twitch/jobs/8625664002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)