Data Scientist, Product Analytics
- Entity & Actor Integrity Meta
- 4.0 Menlo Park, CA Job Details $210,000
- $281,000 a year 13 hours ago Qualifications Programming languages Leading team collaboration initiatives Cross-functional team management Cross-functional communication Full Job Description We are seeking an experienced Data Scientist to join the Entity & Actor Integrity team within Meta's Trust & Safety pillar.
This team is responsible for protecting creators and users from account compromise and impersonation attacks. You will drive data-driven strategies to detect, prevent, and mitigate creator compromise and creator impersonation at scale, working closely with cross-functional partners to build safer experiences across Meta's platforms. Data Scientist, Product Analytics•
Entity & Actor Integrity Responsibilities:
Develop and refine detection models and metrics for identifying creator compromise and impersonation patterns at scale Partner with product, engineering, and policy teams to design and evaluate integrity interventions that protect creators Conduct deep-dive analyses to understand adversarial behaviors, attack vectors, and emerging threats targeting high-value accounts Define success metrics, build dashboards, and create measurement frameworks to track integrity health and intervention effectiveness Design and analyze experiments to optimize detection precision and user friction trade-offs Communicate insights and recommendations to leadership to inform Trust & Safety strategy and investment decisions Collaborate across integrity teams to identify cross-cutting opportunities and share learnings on actor-based abuse patterns
Minimum Qualifications:
10+ years of experience in quantitative analysis, data science, or related analytical roles Experience with data querying languages (e.g., SQL) and scripting languages (e.g., Python, R) Experience communicating complex analytical findings to leadership and cross-functional stakeholders Experience leading ambiguous, cross-functional analytics projects with multiple stakeholders
Preferred Qualifications:
Familiarity with machine learning approaches for classification and anomaly detection Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in Trust & Safety, integrity, fraud detection, or security-related analytics Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with adversarial analysis, abuse detection, or account security domains Experience building and evaluating detection systems or intervention mechanisms
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 WhatsApp 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 . $210,000/year to $281,000/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.
