Staff Data Scientist, Ads

Reddit

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$217,000–$303,900 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $260k
$87k most similar roles pay here $327k

This role pays more than 95% of similar roles. Most pay $126,800–$195,499 — the shaded band above. At the midpoint, this role pays about $260k versus about $161k 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 · Staff Data Scientist, Ads

Reddit is seeking a Staff Data Scientist to join its Ads Data Science team, a highly collaborative group focused on maximizing advertiser value through robust data foundations and strategic insights. This senior role involves designing advanced probabilistic models for identity resolution, advancing lift methodologies with rigorous statistical analysis, defining strategies for new signal sources, and setting technical standards across cross-functional teams. Candidates should have an advanced degree in statistics or related fields, 10+ years of industry experience, expertise in measurement and experimentation at scale, and proficiency in Python/R and SQL. The position requires deep understanding of the ads ecosystem, strong problem-solving skills, and the ability to work effectively in a fast-paced environment with complex challenges.

What you'll do

  • Design probabilistic models for identity resolution to link on-platform and off-platform actions.
  • Own the statistical rigor behind Reddit’s Brand and Conversion Lift products, innovating experimental design.
  • Define strategy for new signal sources, quantifying their value and integrating them into predictive models.
  • Solve industry challenges by designing objective functions and truth sets for model training and evaluation.
  • Lead cross-functional initiatives, aligning teams on strategic goals and driving technical best practices.

What we're looking for

  • Advanced degree in Statistics, Mathematics, Physics, Economics, or Operations Research required.
  • 10+ years of industry experience for M.S. holders; 6+ years for Ph.D. holders.
  • Deep understanding and expertise in ads ecosystem measurement, identity graph creation, or predictive modeling.
  • Proficiency in statistical programming (Python/R) and SQL with experience in machine learning techniques.
  • Strong problem-solving skills and ability to influence cross-functional teams effectively.
  • Demonstrated expertise in experimental design, causal inference, and A/B testing methodologies.

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