Staff Data Scientist, Ad Measurement Products

📋 Description

• Own the development of measurement methods to show ad value across the funnel.
• Design, implement, and validate causal inference methods for incrementality and lift measurement.
• Ensure scientific rigor by mitigating bias, imbalance, and under-power.
• Influence Ads Product & Engineering to define measurement roadmap and integrate science into products.
• Collaborate with internal/external measurement partners (clean rooms, APIs, MMM, MTA) to design joint solutions.
• Define and own key metrics for 1P measurement; build tools to aid advertiser decisions.

🎯 Requirements

• 8+ years of post-grad academic and industry experience applying scientific methods to web-scale data.
• 5+ years in ads measurement with incrementality focus.
• Proficiency in SQL and Python or R.
• Strong business and product sense; ability to turn questions into analyses and metrics.
• Demonstrated leadership on technical projects and mentorship of other data scientists.
• In-office presence 1 day/week; must be commutable to San Francisco, Palo Alto, or Seattle.

🎁 Benefits

• Not eligible for relocation assistance.
• Eligible for equity.
• PinFlex: flexible work model with occasional in-person collaboration.
• PinFlex page for details.