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

Reddit's Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit's ads measurement and signal systems.

As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem.

Responsibilities

• Define the long-term data science vision and 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.
• 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.
• Create durable data science infrastructure and standards.
• 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.

Qualifications

• 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 personal output, turning complex methodologies into working prototypes with modern speed and efficiency.

Preferred

• 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 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
• 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