Data Scientist, Product Analytics - Entity & Actor Integrity

Meta • United States, United States • 2h ago

Summary:

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.

Required Skills:

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:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field

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

Public Compensation:

$210,000/year to $281,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 stereo@types, 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.

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