Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 10+ years
- Posted
- 2026-07-17T12:08:11-04:00
Key Requirements
Required Skills
Domain Knowledge
- Advertising
- Engineering
Benefits & Perks
edical, dental, and vision insurance, 401(k) program with employer match, ge
Requirements
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.
Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact.
Strong command of statistical modeling, experimental design, causal inference, and measurement methodology.
Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products.
Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas.
Compensation & Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Responsibilities
Technical Vision & Strategy:
Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy.
Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.
Set the Cross-Pillar Measurement Science Strategy:
Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy.
Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.