• Data Science Manager

    Meta (Austin, TX)


    Summary:

    We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You’ll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.

    Required Skills:

    Data Science Manager Responsibilities:

    1. Labeling spend management: Inform and drive multi-billion spend management and optimizations

    2. develop and execute a comprehensive data science strategy that aligns with the organization’s overall goals and objectives

    3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels

    4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents

    5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support

    6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations

    7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics

    Minimum Qualifications:

    Minimum Qualifications:

    8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience

    9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams

    10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers

    11. Experience communicating both in low-level technical details as well as high-level strategies

    12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering

    13. Experience with driving product roadmap and execution

    Preferred Qualifications:

    Preferred Qualifications:

    14. Expertise in AI Agentic solutions, LLM performance and evals

    15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)

    16. Communication skills in VP-level leadership forums

    Public Compensation:

    $206,000/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 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 [email protected].