Reddit is hiring a Senior Staff Data Scientist, Consumer Relevance. This is a Remote – United States role. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to everyone in the world. Reddit’s relevance challenges are uniquely complex: a deeply interconnected network of users, posts, and communities; varying user needs and intent over time; and big choices about what to prioritize and measure.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, and will shape how Consumer builds, evaluates, and ships Feeds, Search, and other relevance experiences.

Responsibilities:

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer
• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems
• Design and analyze experiments for relevance features, accounting for challenges unique to networked systems
• Identify opportunities where improved measurement and analysis can unlock product insights
• Partner deeply with ML engineers and product teams to translate model performance metrics into user outcomes
• Influence the long-term product strategy for Feeds and Search by synthesizing insights from experiments
• Mentor and elevate other data scientists across the organization on relevance evaluation and experimentation
• Publish and share methodological advances internally and, where appropriate, externally

Required Qualifications:

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field
• For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking
• Deep expertise in metrics design and evaluation for ranking and recommendation systems
• Strong understanding of causal inference and experimentation methodology
• Experience defining and validating quality metrics for content ranking, search, or recommendations
• Strong theoretical grounding in experimental design, including power analysis and variance reduction techniques
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Demonstrated ability to influence product and organizational strategy through data-driven insights
• Excellent communication skills with the ability to explain nuanced statistical and ML concepts
• Experience mentoring data scientists and building organizational capability in relevance evaluation
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications:

• Published research or industry contributions in areas of recommendation systems or causal inference
• Experience with social network or user-generated content platforms

Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs, 401k with Employer Match, Global Benefit programs that fit your lifestyle, Family Planning Support, Gender-Affirming Care, Mental Health & Coaching Benefits, Flexible Vacation & Paid Volunteer Time Off, Generous Paid Parental Leave.

Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units. The base salary range for this position is $232,500-$325,500 USD. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings.

Source: Reddit. Apply here: https://job-boards.greenhouse.io/reddit/jobs/7974605