Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy

Remote - United States · Remote · Staff

$232,500 – $325,500

Listed on Reddit’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Reddit is seeking a senior leader to architect their ads measurement and signals strategy, designing frameworks that prove advertiser value while navigating privacy regulations and platform changes. This role suits someone with deep expertise in causal inference and experimentation who can shape technical vision across a complex multi-disciplinary space.

Our summary, not Reddit’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or related quantitative field, or equivalent industry experience
10+ years in data science, applied science, economics, statistics, or related quantitative role
Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization
Proven track record leading cross-functional, multi-pillar problem spaces with measurable business impact
Strong statistical modeling, experimental design, causal inference, and measurement methodology knowledge
Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products
Ability to balance long-term strategic vision with hands-on execution of complex technical ideas
Advanced proficiency in SQL and Python or R
Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication
Ability to mentor senior individual contributors and improve technical standards across a data science organization
Ability to adopt AI tools to amplify personal output and turn complex methodologies into prototypes

Nice to have

Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation
Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships
Experience with privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling
Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes
Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products
Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization