Senior Data Scientist - ML

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 are looking for an experienced Data Scientist with a strong machine learning background to lead the development of frameworks that deepen understanding of engagement at Twitch. Bringing to bear a mixture of model development and software engineering skills, you will lead the development and deployment and of several of Twitch's core growth forecasting models, use data-driven methods to answer business questions, and deliver insights to deepen understanding of viewers and creators on Twitch. Reporting to the Head of Finance, Analytics, and Business Operations, your team will be located in San Francisco. While there is a preference for the San Francisco Bay Area, we are open to this role operating remotely within the U.S.

You Will:

• Own and develop the central machine learning models that forecast user growth at Twitch.
• Lead the model development process to implement production algorithms, including exploratory data analysis, data modeling, feature engineering, model training, testing, deployment, and monitoring.
• Deep dive into mission-critical problems unique to Twitch and design custom algorithmic solutions.
• Author narratives and create artifacts that deliver insights related to viewer and payer behavior at Twitch.

You Have:

• Graduate degree in Computer Science, Statistics, Applied Mathematics, Economics, Data Science, a related technical field, or equivalent work experience.
• 3+ years of software or machine learning engineering experience building algorithms for business application at scale.
• Extensive experience with Python and SQL for data science, machine learning, and software development e.g. PyTorch, LightGBM, FastAPI
• Experience leading development and deployment of machine learning- and data-based forecasting solutions in production.

Bonus Points

• Experience with a variety of causal inference methods
• Experience in professional software development
• Experience …