# Senior Director, Data Science at Reddit

- Company: Reddit
- What the company does: Backed by 500 Global.
- Company website: https://www.redditinc.com
- Type: Startups
- Level: Principal and up
- Location: Remote - United States
- Work setup: Remote
- Posted: 2026-09-23
- Apply by: 2026-11-07
- Apply: https://job-boards.greenhouse.io/reddit/jobs/8226397
- Page: https://www.1752.vc/careers/jobs/reddit-senior-director-data-science/

## About the role

Reddit is seeking a Senior Director of Consumer Data Science to lead a multi-team organization that partners across Consumer, Product, Engineering, and the broader business. You will set the strategy and operating model for consumer data science, strengthen the systems and standards that make scientific outputs reliable, actionable, and scalable, and guide high-impact decisions through measurement, experimentation, causal inference, and ML.

## What they're looking for

- Deep data science expertise in measurement, experimentation, causal inference, ML, data platforms, and analytical systems, with the technical judgment to set company-scale standards
- Experience in UGC or community ecosystems and a strong point of view on how data science can improve consumer experiences while protecting analytical quality, privacy, and responsible AI practices
- Proven ability to connect model and system improvements to consumer value, content quality, trust, diversity, healthy participation, and long-term business outcomes—not only short-term engagement metrics
- Senior leadership experience leading multi-team or multi-pillar organizations and delivering attributable business impact through durable roadmaps, operating mechanisms, and long-range bets
- Proven organization builder with a track record of recruiting and retaining exceptional senior leaders, developing Directors and managers, and creating a healthy, high-trust leadership bench
- Exceptional communication and influence with experience aligning senior product, engineering, and business leaders, resolving conflict, and communicating uncertainty, risks, and tradeoffs with intellectual honesty

Tags: Data Science