Pinterest is seeking a Staff Data Scientist to lead the science behind how advertisers measure the impact of their investments through first- and third-party measurement products. In this role, you will drive innovation in causal inference, incrementality, and AI/ML integration while working closely with Product, Engineering, and external partners.
What You'll Do
- Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
- Apply AI/ML techniques and AI-assisted workflows to improve the scale, speed, and quality of ads measurement, experimentation, and insight generation across first- and third-party measurement products.
- Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, under-power, and data quality issues, including those that may arise from AI-enabled systems.
- Influence Ads Product and Engineering to define the measurement roadmap and integrate science and AI-powered solutions into products and platforms including model-driven diagnostics, anomaly detection, automated insight generation, and decision-support for advertisers.
- Collaborate with internal and external measurement partners, such as clean rooms, conversion APIs, MMM partners, and MTA vendors, to design and evaluate joint solutions.
- Define and own key success metrics for first-party measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
- Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
- Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, external customers, and partners, including the opportunities and limitations of AI-based approaches.
What We're Looking For
- 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
- 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
- Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
- Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
- Experience applying AI/ML methods or AI-assisted workflows to analytics, experimentation, measurement, or product problems.
- Strong judgment in evaluating AI-generated outputs and translating them into reliable, explainable, and scientifically sound solutions.
- Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
- Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
Technical Stack
- SQL
- Python
- R
- AI/ML
- causal inference
- incrementality measurement
- MMM (Marketing Mix Modeling)
- MTA (Multi-Touch Attribution)
- conversion APIs
- clean rooms
Team & Environment
Cross-functional collaboration with Ads Product, Engineering, and external partners.
Benefits & Compensation
- Equity eligibility
- Flexible work model (PinFlex) allowing remote work with in-person collaboration as needed
- Gathering for key moments of collaboration and connection
- In-office collaboration 1 time per week required
- Access to training and development through AI-assisted workflows
- Inclusive and equitable workplace culture
- Opportunities for technical leadership and mentorship
Compensation: $164,695—$339,078 USD salary range with equity eligibility.
Work Mode
Hybrid role with remote eligibility and a requirement to be in the office once per week for in-person collaboration. Locations include San Francisco, Palo Alto, and Seattle.
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. Pinterest also considers qualified applicants regardless of criminal histories, consistent with legal requirements.
