Senior Staff Data Scientist - Consumer Relevance

Reddit

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$232,500–$325,500 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $279k
$84k most similar roles pay here $351k

This role pays more than 97% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $279k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Reddit

Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.

Reddit currently has 72 open roles on FindRole.

Listed pay typically runs $217,000–$303,900 across 66 roles with salary data.

Most-posted roles

View all roles at Reddit

At a glance

TL;DR · Senior Staff Data Scientist - Consumer Relevance

As a Senior Staff Data Scientist on Reddit’s Consumer team, you will serve as the technical authority on relevance metrics and evaluation methodology, shaping how the platform measures content quality and user satisfaction. Your day-to-day involves developing metrics frameworks for ranking systems, designing experiments to analyze spillover effects between communities, and translating model performance into actionable insights for senior leadership. You must have deep expertise in recommendation systems, causal inference, and SQL proficiency, alongside strong communication skills to influence product strategy through data-driven insights. This role demands experience with complex, community-driven environments like Reddit’s, where the challenge is to improve personalized content ranking and search across an extensive corpus of user-generated content.

What you'll do

  • Serve as the technical authority on relevance metrics and evaluation methodology, setting standards for measuring content quality.
  • Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems to predict long-term outcomes.
  • Design and analyze experiments for relevance features, accounting for unique challenges of networked platforms like Reddit.
  • Identify opportunities where improved measurement can unlock product insights around content quality and personalization effectiveness.
  • Mentor other data scientists on relevance evaluation, experimentation best practices, causal reasoning, and statistical rigor.
  • Influence the long-term product strategy by synthesizing insights from experimentation into clear recommendations for senior leadership.

What we're looking for

  • Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or related quantitative field with expertise in recommendation systems.
  • 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles.
  • Deep expertise in metrics design and evaluation for ranking and recommendation systems.
  • Strong understanding of causal inference and experimentation methodology relevant to ranking systems.
  • Expert knowledge of SQL and proficiency in R and/or Python for statistical computing.
  • Demonstrated ability to influence product strategy through data-driven insights on content quality and user experience.

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