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Staff Data Scientist, Ads

Reddit· Data Science
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Hybrid (Ontario, Canada)full-timePosted 7mo ago

About the role

Senior data science role focused on measurement, identity, and signal quality to power Reddit's advertiser experience. High autonomy with cross-functional influence across engineering, product, and sales.

Responsibilities

  • Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
  • Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure for large-scale, high-velocity, low-bias testing for advertisers.
  • Maximize Signal for Predictive Performance: Define the strategy for new signal sources. Quantify value of signals and integrate into predictive models to improve bidding efficiency and ROAS.
  • Define Ground Truth & Evaluation Frameworks: Solve validation challenges for identity and measurement. Design objective functions and truth sets used to train models and measure incremental impact of identity graph.
  • Lead Through Cross-Functional and Technical Influence: Collaborate with engineering, product, and sales to align on goals, translate insights into action, and mentor others in modeling, experimentation, and measurement.

Qualifications

  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Expertise in at least one: Measurement & Experimentation at Scale; Identity Graph Creation & Resolution Methodology and Infrastructure; Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R) and SQL
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Exceptional problem-solving and communication skills with ability to influence product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

Skills

Required:Identity resolution modelingExperimental design and lift measurementPredictive modeling with signalsPython or R programmingSQLCausal inference / A/B testing

Benefits

  • 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
  • Comprehensive Medical Benefits & Health Care Spending Account
  • Registered Retirement Savings Plan with matching contributions
  • Income Replacement Programs
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
Last updated Oct 7, 2026. Interested? Apply on the company site.
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