Staff Data Scientist, Ads Measurement, Signals, Privacy
Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $217,000–$303,900 / yr
- Posted
- 102 days ago
- Freshness
- Confirmed live today
Market check
Salary context
How this pay compares to similar roles
This role pays more than 86% of similar roles. Most pay $152,768–$246,750 — the blue band above. At the midpoint, this role pays about $260k versus about $200k 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 89 open roles on FindRole.
Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.
Most-posted roles
- Software Engineer 27
- Machine Learning Engineer 10
- Product Manager 8
- Data Scientist 7
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At a glance
TL;DR · Staff Data Scientist, Ads Measurement, Signals, Privacy
The Staff Data Scientist - Ads Measurement, Signals, Privacy joins the Ads Data Science team to advance the intelligence powering the advertiser experience. This role involves taking deep ownership of measurement, identity, and signal quality within the advertising ecosystem. Key responsibilities include developing probabilistic models for identity resolution, owning the statistical rigor for Brand and Conversion Lift products, and defining strategies for new signal sources to improve bidding efficiency and ROAS. The successful candidate will design objective functions for truth sets and lead cross-functional initiatives with engineering and product teams. Required skills include advanced proficiency in Python or R and SQL, along with expertise in machine learning, optimization, causal inference, and A/B testing. Candidates must possess a deep understanding of the ads ecosystem and measurement at scale.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Skills
What you'll do
- Develop probabilistic models for identity resolution to link on-platform and off-platform actions.
- Own the statistical rigor and experimental design for Brand and Conversion Lift products.
- Develop infrastructure for large-scale, high-velocity, and low-bias testing for advertisers.
- Define strategies for new signal sources and mathematically quantify their value for predictive models.
- Design objective functions and truth sets to validate identity and measurement frameworks.
- Translate data insights into actionable goals for engineering, product, and sales teams.
- Mentor team members and champion best practices in modeling, experimentation, and measurement.
What we're looking for
- Master's degree in Statistics, Mathematics, Physics, Economics, or Operations Research.
- Ph.D. in Statistics, Mathematics, Physics, Economics, or Operations Research.
- 10+ years of industry experience in applied science or data science roles for M.S. holders.
- 6+ years of industry experience in applied science or data science roles for Ph.D. holders.
- Deep understanding of the ads ecosystem.
- Expertise in measurement and experimentation at scale, identity graph creation, or predictive modeling with signal loss.
- Advanced proficiency in statistical programming (Python or R) and SQL.
- Experience with machine learning, optimization techniques, experimental design, causal inference, or A/B testing.
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