Senior Director, Data Science
Remote$317k - $443.8kunknownPosted 3w ago
About the role
Lead a multi-team data science organization focused on consumer data science to optimize Reddit’s feed, ranking, search, and recommendations. Set strategy, operating model, and measurement framework; drive long-term, scalable ML and analytical system improvements; collaborate with Consumer, Product, Engineering, and business leaders; recruit and develop senior leaders; shape cross-org forums and external representation.
Responsibilities
- Partner with senior leaders across Consumer, Product, Engineering, and business functions to define company-level bets, priorities, and tradeoffs.
- Set the data science strategy for Reddit’s feed, recommendation, search, retrieval, and ranking systems, including objective design, candidate generation, ranking quality, relevance evaluation, experimentation, and long-term optimization.
- Establish the measurement and experimentation framework for relevance optimization, including offline evaluation, online experimentation, counterfactual analysis, guardrail metrics, metric integrity, and the connection between model improvements and consumer and community outcomes.
- Translate complex user and community behavior into clear, impartial insights that improve product strategy and consumer outcomes.
- Establish durable standards for measurement, experimentation, causal inference, reproducibility, privacy, responsible AI use, and self-serve measurement, at scale.
- Build multi-team roadmaps, operating cadences, and clear accountability that turn company direction into durable delivery.
- Exercise strong technical judgment across architecture choices, analytical systems, hiring, and sponsorship of high-leverage programs.
- Build or rebuild systems and practices that make analytical work reliable, adoptable, and scalable rather than dependent on individual heroics.
- Recruit, retain, and develop Directors, managers, and IC5+ leaders across multiple teams or pillars.
- Set a high talent bar through succession planning, calibration, and clear expectations for coaching, performance, accountability, and growth.
- Create durable cross-org forums and operating mechanisms that improve coordination, culture, and decision quality.
- Align senior product, engineering, and business leaders on measurement strategy, difficult tradeoffs, and decisions with material multi-year impact.
- Represent Reddit externally and internally as an acknowledged thought leader and visible culture shaper for rigor.
- Partner with teams advancing ML and analytical systems that deepen understanding of Reddit’s UGC and community ecosystem.
Qualifications
- 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.
Skills
Required:Measurement design and evaluationProduct and business impact framing
Benefits
- Medical, dental, and vision insurance
- 401(k) program with employer match
- generous time off for vacation
- parental leave
Last updated Sep 30, 2026. Interested? Apply on the company site.

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