Staff Data Scientist – Ads Measurement, Signals, Privacy

Reddit, Inc.

. Develop and employ probabilistic models for identity resolution .

Posted 10/15/2026full-timeRemote • Canada, United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing probabilistic models for identity resolution and designing methodologies for linking actions while ensuring privacy. Proficient in statistical programming and experimental design, with a strong focus on measurement and experimentation at scale.

Highest-signal resume keywords

Advanced Degree In Statistics, Mathematics, Physics, Economics, Or Operations ResearchExpertise In Measurement & Experimentation At ScaleStatistical Programming (Python Or R) And SQLExperimental Design And Causal InferencePredictive Modeling With Signal Loss

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Probabilistic ModelingStatistical RigorExperimental DesignPredictive ModelingA/B Testing MethodologiesMachine Learning TechniquesOptimization TechniquesIdentity Graph CreationQuantitative AnalysisData Science

Soft Skills

Exceptional Problem-SolvingStrong Communication SkillsMentoring OthersInfluencing Product PartnersCollaboration With Cross-Functional Teams

Industry Keywords

Ads EcosystemIdentity ResolutionMeasurement And AttributionBidding EfficiencyROASStatistical ProgrammingData Science RolesFast-Paced EnvironmentsCross-Functional CollaborationStrategic Goals

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and employ probabilistic models for identity resolution
Design methodology linking on-platform and off-platform actions while honoring privacy
Own statistical rigor for Reddit’s Brand and Conversion Lift products
Innovate experimental design and develop infrastructure for large-scale, high-velocity, low-bias advertiser testing
Define strategy for new signal sources and quantify their value mathematically
Work with modeling teams to incorporate signals into predictive models and improve bidding efficiency and ROAS
Design objective functions and truth sets for model training and incremental-impact measurement
Collaborate with engineering, product, and sales on strategic goals and execution
Mentor others and champion best practices across modeling, experimentation, and measurement

Requirements

What you’ll need

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
Demonstrated expertise in Measurement & Experimentation at Scale (with focus on lift and attribution), Identity Graph Creation & Resolution Methodology and Infrastructure, or 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 a track record of influencing product and engineering partners
Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits

Comp & perks

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
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave