Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy

Details

Reddit’s Ads Data Science team is seeking a Senior Staff Data Scientist to lead the scientific strategy behind ads measurement and signal systems. The role focuses on advertiser value, signal quality, privacy-aware measurement, experimentation, causal inference, identity, attribution, and connecting ads exposure to real advertiser outcomes.

Responsibilities

• Define the long-term data science vision and strategy across 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 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 in performant, scalable, and resilient 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 and recover signal utility through compliant modeling.
• 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 Ads Data Science.

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 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.

Preferred Qualifications

• 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

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs supporting workspace, professional development, and caregiving.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Equity in the form of restricted stock units; some positions may also be eligible for commission.

Compensation

The base salary range for this position is $232,500–$325,500 USD. Final offers depend on factors including skills, depth of work experience, and relevant licenses or credentials. The role may span more than one career level.

Interviews may be recorded, transcribed, and summarized by artificial intelligence in select roles and locations, with an option to opt out before scheduled interviews. Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.