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Staff Data Scientist - Ads Measurement, Signals, Privacy

RemoteUnited States only
Published
Role
Data Science
Experience
Staff
Employment
Full-time
Company size
Enterprise
$217k–$303.9k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior/Staff-level data scientist for Ads measurement and identity; strong statistics/causal inference and experience building large-scale experimentation and identity-graph solutions. Requires advanced degree (MS/PhD) and 6+ (PhD) / 10+ (MS) years industry applied/data science experience. US-remote role — US-based employment/benefits and US salary range.

Core skills

Experimentation / A/B testingIdentity graph / identity resolutionMeasurement & lift methodology

Required skills

StatisticsCausal inferenceProbabilistic modelsIdentity resolutionPredictive modelingPythonRSQLMachine learningOptimization

What you'll do

  • Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution and design methodology linking on-platform and off-platform actions while honoring privacy.
  • Advance Lift Methodologies & Experimentation: Own statistical rigor behind Brand and Conversion Lift products; innovate experimental design and infrastructure for large-scale, low-bias testing.
  • Maximize Signal for Predictive Performance: Define strategy for new signal sources, quantify their value, and work with modeling teams to incorporate them into predictive models to improve bidding efficiency and ROAS.
  • Define Ground Truth & Evaluation Frameworks: Design objective functions and truth sets to validate identity and measurement and measure incremental impact of the identity graph.
  • Lead Through Cross-Functional and Technical Influence: Collaborate with engineering, product, and sales; mentor others and champion best practices across modeling, experimentation, and measurement.

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 (focus on lift and attribution); 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 a track record of influencing product and engineering partners
  • 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 (workspace, professional development, caregiving support)
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
  • Equity in the form of restricted stock units (role-dependent)
  • U.S. medical, dental, and vision insurance

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What people say about this company

3.5/ 5

$217k–$303.9k/yr