Senior Data Scientist – Ads Measurement, Signals, Privacy

Reddit, Inc.

Senior Staff Data Scientist leading scientific strategy for Reddit’s ads measurement and privacy-aware systems. Driving innovation in experimentation and causal inference while influencing cross-functional teams.

Posted 7/17/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $232,500 - $325,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data science with a focus on ads measurement, causal inference, and privacy-aware methodologies. Proven ability to lead cross-functional teams and mentor data scientists while driving measurable business impact through strategic vision and hands-on execution.

Highest-signal resume keywords

Advanced Degree In Statistics, Economics, Mathematics, Computer Science10+ Years Of Industry Experience In Data ScienceDeep Expertise In Ads Measurement And ExperimentationStrong Command Of Statistical Modeling And Experimental DesignAdvanced Proficiency In SQL And Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceMeasurement MethodologyExperimental DesignAttributionSignal QualityConversion ModelingMatch-Rate OptimizationPrivacy-Preserving ModelingStatistical ModelingData Quality

Soft Skills

Influencing Senior LeadersMentoring Data ScientistsClear Technical CommunicationAgility In Adopting AI ToolsCross-Functional Decision-Making

Tools & Technologies

SQLPythonRClean RoomsAggregation SystemsPrivacy-Constrained Measurement

Industry Keywords

Ads MeasurementMarketplace MeasurementPerformance AdvertisingIncrementality TestingTwo-Sided MarketplacesThird-Party Measurement PartnershipsBrand LiftConversion LiftSignal Loss RecoveryQuality Metrics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.
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.
Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments.
Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments.
Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling and ranking teams to translate measurement improvements into performance gains.
Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling.
Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices. Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact.
Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations.
Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS.

Requirements

What you’ll need

Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience.
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.
Advanced proficiency in SQL and Python or R.
Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication.
Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization.
Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency.
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 working on 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.

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