Applied Scientist, Product Policy

Details

The Product Policy research team studies how people use and experience AI, generating evidence to inform product, policy, and safety decisions. The role focuses on large-scale longitudinal research on AI use and well-being, combining survey responses with behavioral data to understand how experiences with AI evolve over time.

Responsibilities

• Develop study designs, survey measures, and analysis plans for longitudinal research on AI use and well-being.
• Conduct statistical analyses of survey and behavioral data, including selection and response bias, account-linkage patterns, and sample representativeness.
• Prepare and validate analysis-ready datasets, implement analysis plans, and produce summaries and visualizations using reproducible workflows.
• Develop quality checks across survey programming, fieldwork, data delivery, and repeated study waves.
• Manage day-to-day study execution, including timelines, vendors, and cross-functional dependencies.
• Collaborate with data engineering and privacy partners on responsible account linkage, data flows, logging, and retention.
• Support human-subjects research review, including Institutional Review Board documentation, protocol amendments, and consent and assent processes.
• Document methods, measures, assumptions, and protocol changes, and contribute materials for research readouts, publications, and peer review.
• Communicate findings, limitations, and recommendations to technical and nontechnical partners.
• Build reusable tools and processes that improve future studies.

Requirements

• Experience conducting applied quantitative research in social science, behavioral science, human-computer interaction, statistics, or a related field.
• Strong foundations in survey research and statistical analysis, with experience working on panel studies, longitudinal datasets, or human-subjects research.
• Proficiency with SQL and Python or R for data preparation, analysis, validation, and visualization.
• Understanding of how recruitment, missing data, participant attrition, and measurement choices affect interpretation and generalizability.
• Ability to combine analytical work with practical execution while managing multiple timelines and collaborators.
• Clear communication skills and the ability to connect methodological choices and findings to decisions.
• Sound judgment when working with sensitive data and research involving minors.
• Ability to build structure in ambiguous environments and collaborate across disciplines.

Nice to Have

• Experience combining survey responses with behavioral or product data.
• Familiarity with preregistration, measure validation, reproducible research, and academic publication or peer-review processes.
• Experience working with research vendors, survey platforms, or IRB and ethics-review partners.
• Research experience related to AI-human interaction, digital well-being, youth development, or social and emotional uses of technology.

Benefits

• Base salary of $207,000–$230,000 per year.
• Equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax FSA, dependent-care, commuter, and parking accounts.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Office meals and eligible meal delivery credits.
• Relocation support for eligible employees.