Partner Data Scientist, Governance

Über

The Partner Data Scientist (PDS), Transparency – Governance & Oversight Board, is responsible for leading data-driven governance initiatives, supporting Oversight Board activities, and ensuring Meta's external commitments are met through rigorous analytics, impact assessments, and process improvements. This role partners with Governance, Public Policy, Product, and external stakeholders to deliver actionable insights, validate the impact of recommendations, and proactively address regulatory and compliance risks.
Responsibilities

Design, execute, and deliver custom Impact Assessments for the Oversight Board, providing data and analysis to validate the impact of Board recommendations and Meta's implementation efforts
Develop and maintain processes for tracking, reporting, and sharing impact metrics with the Board, including both manual and self-serve analyses via Meta Content Library (MCL) and API
Proactively identify and address gaps in data availability, implementation tracking, and accountability for recommendations, ensuring commitments are upheld and communicated transparently
Support regulatory response efforts by ensuring data sharing, reporting, and impact measurement processes meet evolving legal and policy requirements (e.g., DSA 40B)
Run end-to-end dry runs and readiness assessments for regulatory requests, and develop mitigation strategies for ambiguous or high-risk compliance scenarios
Collaborate with Integrity, Policy, and Product teams to align on regulatory priorities and resource allocation
Host workshops, office hours, and educational sessions for researchers, Board members, and external partners to drive adoption and understanding of Meta's transparency tools
Provide white-glove support for Oversight Board and governance stakeholders, including onboarding, troubleshooting, and feedback collection
Communicate findings, risks, and learnings to leadership and cross-functional teams, influencing strategy and resource allocation

Minimum Qualifications

Bachelor's degree in a directly related field, or equivalent practical experience
5+ years of experience following the data development lifecycle to develop scalable data infrastructure and analytics tools
Demonstrated experience building relationships with peers, stakeholders and collaborating with cross-functional teams across multiple geographies and time zones
Track record of operating independently and delivering results, embracing ambiguity, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner
Proven experience in communication and presentation skills, and the ability to clarify and summarize complex issues
Hands-on experience with SQL and/or data science toolkit for development and visualization (e.g. python/R, Tableau, Hive, MySQL, Spark, etc.)
Experience independently structuring and leading projects with cross-functional stakeholders in a highly matrixed organization
Experience independently managing multiple projects simultaneously and working autonomously in a deadline focused ambiguous environment
Experience in communicating effectively with experience of driving action based on data-driven insights. Experience turning vague concepts and asks into well-documented and effective business metrics and insights and storytelling through data insights
Project management experience, with experience leading and executing multiple time-sensitive projects with partners

Preferred Qualifications

BS, MS or MBA in a quantitative or policy/regulatory field preferred
Experience distilling/prioritizing needs of a broad range of stakeholders to inform an action plan
Experience working in policy, policy research, regulatory and compliance etc
Understanding of

New York, New York, United States

Sprachkenntnisse

English

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