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

53 minutes ago
Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
Machine Learning Python R SQL Statistics
Apply Now
Reddit

Reddit

Reddit is a diverse network of communities where users engage in content creation, voting, and discussions on a wide range of topics.

Internet Software & Services
1K-5K
Founded 2005
$550M raised
View All Jobs 27

Description

  • Define the long-term data science vision and strategy for ads measurement, signal quality, identity, attribution, and privacy.
  • Create trusted measurement and evaluation frameworks for lift, attribution, identity quality, modeled conversions, and signal loss recovery.
  • Lead experimentation and causal inference efforts across Brand Lift, Conversion Lift, Split Testing, and new measurement products.
  • Improve study quality, reduce bias and contamination, and build scalable diagnostics for experiment health and interpretability.
  • Partner with Ads Engineering to operationalize causal models in scalable, high-throughput production systems.
  • Quantify how signal quality, identity resolution, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes.
  • Lead privacy-aware measurement initiatives and improve signal utility through compliant modeling approaches.
  • Build reusable methodologies, dashboards, scorecards, quality metrics, and best practices for Ads Data Science.
  • Partner with Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership on roadmap decisions.
  • Mentor senior data scientists and raise technical standards across the Ads Data Science organization.

Requirements

  • Advanced degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Operations Research, or Physics, 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.
  • 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.
  • Proven ability to lead ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact.
  • Ability to balance long-term strategy with hands-on execution of complex technical work.
  • 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 individual contributors and improve technical standards across a data science organization.
  • Demonstrated agility in adopting AI tools to turn complex methodologies into working prototypes quickly.
  • Preferred: experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation.
  • Preferred: experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships.
  • Preferred: experience with privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling.
  • Preferred: experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes.
  • Preferred: familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products.
  • Preferred: experience building internal frameworks, training programs, scorecards, or methodology standards adopted across an organization.

Benefits

  • Global benefits programs that fit your lifestyle, including workspace, professional development, and caregiving support.
  • 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.
  • Generous paid parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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