Senior Staff Data Scientist, Ads Measurement, Signals, Privacy
Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $232,500–$325,500 / yr
- Posted
- 56 days ago
- Freshness
- Confirmed live 2 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 93% of similar roles. Most pay $136,875–$239,662 — the shaded band above. At the midpoint, this role pays about $279k versus about $188k 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 77 open roles on FindRole.
Listed pay typically runs $217,000–$303,400 across 77 roles with salary data.
Most-posted roles
- Software Engineer 19
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At a glance
TL;DR · Senior Staff Data Scientist, Ads Measurement, Signals, Privacy
Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy joins the Ads Data Science team to lead the scientific strategy for measurement and signal systems. This role serves as the principal architect of the technical vision, focusing on how the platform proves advertiser value while navigating privacy regulations and evolving ad-tech dynamics. The individual will build robust frameworks for lift, attribution, and identity quality while advancing experimentation and causal inference at scale. Key responsibilities include developing privacy-aware measurement systems, defining evaluation guardrails, and translating complex scientific tradeoffs into actionable product recommendations. Required skills include advanced proficiency in SQL and Python or R, alongside deep expertise in statistical modeling, experimental design, and marketplace measurement. The role addresses the critical challenge of maintaining high-quality signal utility and advertiser outcomes within a privacy-constrained advertising ecosystem.
What does a Data Scientist earn in Remote?
Median $217225 from 40 postings across 18 companies.
Skills
What you'll do
- Define the long-term technical vision and strategy for ads measurement, signal quality, identity, and privacy.
- Create rigorous frameworks for validating lift, attribution, and privacy-aware measurement systems.
- Lead the evolution of experimentation and causal inference methodologies to improve study quality and reduce bias.
- Partner with engineering teams to operationalize complex causal models in high-throughput production environments.
- Quantify how signal quality and identity resolution impact bidding efficiency and advertiser outcomes.
- Develop a privacy-first measurement paradigm to recover signal utility through compliant modeling.
- Establish reusable data science infrastructure, including dashboards, scorecards, and standardized evaluation metrics.
- Mentor senior data scientists and influence cross-functional leadership to shape product roadmap decisions.
What we're looking for
- Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field.
- 10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role.
- Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization.
- Strong command of statistical modeling, experimental design, and measurement methodology.
- Advanced proficiency in SQL and Python or R.
- Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact.
- Demonstrated ability to influence senior product, engineering, and business leaders through clear technical judgment.
- Experience mentoring senior individual contributors and improving technical standards across a data science organization.
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