Staff Data Scientist - Ads Measurement, Signals, Privacy
Hybrid (Ontario, Canada)full-timePosted 2mo ago
About the role
Senior-level data science role focused on measurement, identity, and signal quality within Reddit's Ads organization. High autonomy to influence strategy, set technical bar, and lead cross-functional initiatives in advertising measurement, identity resolution, and signal design.
Responsibilities
- Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
- Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
- Maximize Signal for Predictive Performance: Define the strategy for new signal sources. Quantify the value of signals and incorporate them into predictive models to improve bidding efficiency and ROAS.
- Define Ground Truth & Evaluation Frameworks: Solve validation challenges for identity and measurement. Design objective functions and truth sets to train models and measure incremental impact of the identity graph.
- Lead Through Cross-Functional and Technical Influence: Collaborate with engineering, product, and sales to translate insights into action and mentor others to raise modeling, experimentation, and measurement standards.
Qualifications
- Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 10+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
- Deep understanding of the ads ecosystem
- Expertise in at least one: Measurement & Experimentation at Scale (lift/attribution), Identity Graph Creation & Resolution Methodology/Infrastructure, Predictive Modeling with Signal Loss
- Advanced proficiency in statistical programming (Python or R) and SQL
- Experience with machine learning or optimization techniques
- Strong understanding of experimental design, causal inference, or A/B testing methodologies
- Exceptional problem-solving and communication skills with impact on product/engineering partners
- Experience in fast-paced, ambiguous environments with cross-functional teams
Skills
Required:StatisticsExperimentation & Causal InferenceIdentity ResolutionPredictive ModelingPython or RSQL
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs for lifestyle, workspace, professional development, caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Last updated Oct 21, 2026. Interested? Apply on the company site.

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