Senior Staff Data Scientist (Ads Measurement, Signals, Privacy)

Role Overview

Join Reddit’s Ads Data Science team as a Senior Staff Data Scientist. You will lead the scientific strategy behind Reddit’s ads measurement and signal systems, defining long-term vision, validation frameworks, and privacy-aware measurement approaches.

Key Missions

• Define the long-term data science vision and strategy across ads measurement, signal quality, identity, attribution, and privacy.
• Create rigorous validation frameworks for lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement.
• Lead the evolution of experimentation and lift methodologies across:
  • Brand Lift
  • Conversion Lift
  • Split Testing
  • Emerging measurement products
• Influence senior cross-functional strategy and raise technical standards across the data science organization.

Responsibilities

• Drive ambiguous, cross-functional, multi-pillar problem solving with measurable business impact.
• Balance long-term strategy with hands-on execution of complex technical ideas.
• Mentor senior individual contributors and improve methodology and quality guardrails.
• Collaborate with product, engineering, and business leaders through clear technical judgment and communication.

Requirements

• 10+ years of industry experience in data science/applied science/economics/statistics or related quantitative fields.
• Proven ability leading ambiguous, cross-functional problems with measurable impact.
• Strong expertise in ads measurement, experimentation, causal inference, and attribution (or adjacent areas like marketplace measurement / ads optimization).
• Advanced proficiency in statistical modeling, experimental design, and measurement methodology.
• Advanced proficiency in SQL and Python or R.
• Ability to mentor senior ICs and improve technical standards.
• Advanced degree in a quantitative field (Statistics, Economics, Mathematics, CS, Operations Research, Physics) or equivalent experience.

Nice-to-haves

• Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation.
• Experience with lift measurement and incrementality methods such as Brand Lift, Conversion Lift, Split testing, incrementality testing, MMM, MTA, or third-party measurement partnerships.
• Experience with privacy-constrained measurement (e.g., clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling).
• Experience building durable internal measurement frameworks/standards (training, scorecards, methodology standards).
• Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products.
• Collaboration experience with ranking/bidding/ML teams to connect measurement quality to optimization outcomes.

Location

• Full remote