Senior Staff Data Scientist - Ads Measurement, Signals, Privacy

Leads the scientific strategy for Reddit’s ads measurement, signal, identity, attribution, and privacy systems. The role requires deep expertise in experimentation and causal inference, 10+ years of quantitative industry experience, and the ability to influence senior cross-functional leaders while mentoring data science teams.

About the job

Responsibilities

Define the long-term data science vision and strategy for ads measurement, signal quality, identity, attribution, and privacy.
Establish frameworks for evaluating 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 for product and engineering investments.
Lead the evolution of experimentation and lift methodologies, including 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 causal models in performant, scalable, and resilient production systems.
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 strategy using compliant modeling to recover signal utility.
Define reusable methodologies, dashboards, scorecards, quality metrics, and best practices across the organization.
Build repeatable systems for evaluating launches, monitoring regressions, sizing opportunities, and communicating impact.
Partner with Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions.
Mentor Staff and Senior Data Scientists and raise technical standards across the Ads Data Science organization.

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.
Experience 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.
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.
Experience mentoring senior individual contributors and improving technical standards across a data science organization.
Ability to adopt AI tools to amplify personal output and turn complex methodologies into working prototypes.

Nice-to-haves

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 with 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 internal frameworks, training programs, scorecards, or methodology standards adopted across an organization.

Benefits

Global benefit programs supporting workspace, professional development, and caregiving.
Family planning support.
Gender-affirming care.
Mental health and coaching benefits.
Comprehensive medical benefits and a health care spending account.
Registered Retirement Savings Plan with matching contributions.
Income replacement programs.
Flexible vacation and paid volunteer time off.
Paid parental leave.

Skills

SQL, Python, R, Statistical Modeling, Experimental Design, Causal Inference, Attribution, Ads Measurement, Conversion Modeling, Identity Resolution, Signal Quality, Privacy-Preserving Modeling, Machine Learning, Ranking, Bidding