Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
RemoteCanada
Job Summary
Define the long-term data science vision and strategy across ads measurement, signal quality, identity, attribution, and privacy. Build trusted frameworks for validating lift, attribution, and privacy-aware measurement while establishing ground truth and quality guardrails. Lead the evolution of experimentation and causal inference at scale, improving study quality and developing scalable diagnostics for experiment health. Connect signal quality, identity resolution, and modeled conversions to bidding efficiency and advertiser outcomes. Partner with senior leaders across Product, Engineering, Sales, and Legal to shape roadmap decisions and influence industry standards. Mentor staff and senior data scientists to raise technical standards for causal inference and measurement science.
Required Qualifications
- Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, 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
- Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact
- 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
- Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas
- 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 ICs and improve technical standards across a data science organization
- Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency
Desired Qualifications
- Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation
- Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships
- Experience working on privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling
- Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes
- Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products
- Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization
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