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About the Role

Reddit's Ads Data Science team is seeking a Senior Staff Data Scientist to lead the scientific strategy for ads measurement and signal systems. This role is crucial for proving advertiser value, enhancing signal quality, developing privacy-aware measurement systems, and linking ad exposure to advertiser outcomes. You will be the primary architect of the technical vision for Reddit's next-generation measurement ecosystem, driving innovation in experimental design, identity, signals, and privacy-safe measurement amidst a rapidly changing ad-tech landscape.

Responsibilities

Define the long-term data science vision and strategy for ads measurement, signal quality, identity, attribution, and privacy.
Establish how Reddit evaluates 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 to 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 scientific methodologies are accurate, performant, scalable, and resilient.
Quantify the impact of signal quality, match rates, identity resolution, modeled conversions, and privacy changes on 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-organizational efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices.
Build repeatable systems to 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.
Demonstrate agility in adopting AI tools to amplify personal output, turning complex methodologies into working prototypes with modern speed and efficiency.

Requirements

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.

Skills

Ads Measurement
Experimentation
Causal Inference
Attribution
Marketplace Measurement
Ads Optimization
Statistical Modeling
Experimental Design
Measurement Methodology
SQL
Python
R
AI Tools
Ads Identity
Conversion Modeling
Signal Loss
Modeled Conversions
Match-Rate Optimization
Identity Graph Evaluation
Lift Measurement
Brand Lift
Conversion Lift
Incrementality Testing
MMM
MTA
Third-Party Measurement Partnerships
Privacy-Constrained Measurement
Clean Rooms
Aggregation
Consent-Aware Systems
Privacy-Preserving Modeling
Ranking
Bidding
Machine Learning
Two-Sided Marketplaces
Auction Systems
Performance Advertising
Advertiser-Facing Measurement Products
Internal Frameworks
Training Programs
Scorecards
Methodology Standards

Location

Remote

Work Type

Full-time

Experience Level

Senior Staff
10+ years of industry experience

Education Level

Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience.

Benefits

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
Comprehensive Medical Benefits & Health Care Spending Account
Registered Retirement Savings Plan with matching contributions
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave

About the Company

Reddit is a community of communities, built on shared interests, passion, and trust, hosting open and authentic conversations.
Users submit, vote, and comment on topics they care about, making Reddit one of the internet’s largest sources of information with over 100,000 active communities and approximately 130 million daily active unique visitors.
For more information, visit www.redditinc.com.

Equal Opportunity

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.
Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.