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Benefits & Perks
•Equity
•Equity
Required Skills
SQL
Data analysis
Python
R
Tableau
Hive
MySQL
Apache Spark
Project management
Communication
Data visualization
- 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.
Partner Data Scientist, Governance 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 Account Management and research/analytics best practices
- Strategy consulting experience (or equivalent experience in strategic and analytical problem-solving)
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$137,000/year to $196,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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