Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
Communication @ 6
Data Science @ 7
Experimentation @ 6
Hiring @ 7
Leadership @ 4
Machine Learning @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Reddit is seeking a Senior Director of Consumer Data Science to lead a multi-team organization partnering across Consumer, Product, Engineering, and the broader business. The role will set the strategy and operating model for consumer data science, strengthen systems and standards that make scientific outputs reliable, actionable, and scalable, and guide high-impact decisions through measurement, experimentation, causal inference, and machine learning.
The leader will help define how Reddit measures and improves relevance across the consumer journey, including retrieval and ranking, feed, search, recommendations, and community discovery. The role requires technical depth to evaluate architecture and analytical investments, guide state-of-the-art machine learning system improvements, and align senior leaders around difficult tradeoffs.
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 exceptional 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-organizational 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 machine learning and analytical systems that deepen understanding of Reddit’s user-generated content and community ecosystem.
Requirements
- Deep data science expertise in measurement, experimentation, causal inference, machine learning, data platforms, and analytical systems, with the technical judgment to set company-scale standards.
- Experience in user-generated content 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-building experience, including 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.
Compensation and Benefits
- Base salary range: $317,000–$443,800 USD per year.
- Eligible for equity in the form of restricted stock units.
- Depending on the position offered, may also be eligible to receive a commission.
- U.S.-based benefits include medical, dental, and vision insurance, a 401(k) program with employer match, generous vacation time, and parental leave.
- Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.