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Staff Data Scientist - Ads Measurement, Signals, Privacy

RemoteCanada only
Published
Role
Data Science
Experience
Staff
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to CA only. Set where you work from to check your eligibility.

No BS summary

Senior staff-level data scientist for Ads measurement and identity, specializing in measurement/experimentation, identity resolution, and signal quality. Requires advanced degree (MS/PhD) plus 6+–10+ years industry experience, strong stats/causal inference and Python/R + SQL. Role is remote-eligible but based hiring location listed as Toronto, Canada.

Core skills

Measurement & ExperimentationIdentity resolutionSignal evaluation

Required skills

Statistical programming (Python)Statistical programming (R)SQLCausal inferencePredictive modelingProbabilistic models

Optional skills

Machine learningOptimization techniques

What you'll do

  • 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 that supports large-scale, high-velocity, low-bias testing for advertisers.
  • Maximize Signal for Predictive Performance: Define the strategy for new signal sources and quantify their value for predictive models.
  • Define Ground Truth & Evaluation Frameworks: Design objective functions and truth sets to train models and measure incremental impact of identity graph.
  • Lead Through Cross-Functional and Technical Influence: Collaborate with engineering, product, and sales and mentor others to champion best practices.

What they require

  • 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
  • Demonstrated expertise in at least one of: Measurement & Experimentation at Scale, Identity Graph Creation & Resolution, 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
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

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

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Salary not disclosed