Senior Staff Data Scientist - Consumer Relevance
Posted
$232,500 USD
Tech Stack
Responsibilities
- Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations.
- Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes.
- Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects and long-run impacts.
- Identify opportunities where improved measurement and analysis can unlock product insights, particularly around content quality, search intent, and personalization effectiveness.
- Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor.
Benefits
- 401k
- Equity
- Health Insurance
- Learning Budget
- Parental Leave
- Remote Work
Culture
Mission-DrivenFast-PacedCustomer-ObsessedWork-Life BalanceInclusive Hiring
Requirements
Required: Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise
Regions: Us
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About Reddit
Industry: social media
Size: enterprise
Reddit is a community of communities built on shared interests, passion, and trust, providing an open and authentic platform for conversations on the internet. With over 100,000 active communities and 126 million daily active unique visitors, it serves as a large source of online information.
View company profile →Compensation
Base salary: $232,500 USD
Equity: equity in the form of restricted stock units