Staff Data Scientist - Ads Measurement, Signals, Privacy
Leads high-impact ads measurement, identity resolution, experimentation, and signal-quality initiatives, partnering across engineering, product, and sales. Requires an advanced quantitative degree, substantial applied data science experience, and expertise in statistical modeling, causal inference, experimentation, or identity systems.
About the job
Responsibilities
- Develop and employ probabilistic models for identity resolution, linking on-platform and off-platform actions while honoring privacy.
- Own the statistical rigor behind Brand and Conversion Lift products.
- Innovate experimental design and develop infrastructure for large-scale, high-velocity, low-bias advertiser testing.
- Define strategies for new signal sources, quantify their value mathematically, and incorporate them into predictive models to improve bidding efficiency and ROAS.
- Design objective functions and truth sets to train models and measure the incremental impact of the identity graph.
- Collaborate with engineering, product, and sales to align strategic goals, translate insights into action, and drive execution.
- Mentor others and champion best practices across modeling, experimentation, and measurement.
Requirements
- Master's or Ph.D. in Statistics, Mathematics, Physics, Economics, or Operations Research.
- Master's degree holders: 10+ years of industry experience in applied science or data science roles.
- 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 of:
- Measurement and experimentation at scale, focused on lift and attribution
- Identity graph creation, resolution methodology, and infrastructure
- Predictive modeling with signal loss
- Advanced proficiency in statistical programming with 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 experience influencing product and engineering partners.
- Experience working in fast-paced, ambiguous environments with cross-functional teams.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefits supporting workspace, professional development, caregiving, and more.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
Skills
Python, R, SQL, Machine Learning, Optimization, Experimental Design, Causal Inference, A/B Testing, Identity Resolution, Probabilistic Modeling, Predictive Modeling, Statistical Modeling, Attribution, Lift Measurement, Signal Analysis
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