• Data Scientist, Product Analytics

    Meta (Menlo Park, CA)


    Summary:

    Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

    Required Skills:

    Data Scientist, Product Analytics Responsibilities:

    1. Works on complex projects where analysis of situations and decision making requires an in-depth evaluation of variable factors.

    2. Receives directional guidance

    3. Work is done independently, reviewed upon completion, and influences team-level goals and objectives.

    4. Influences outcomes in cross-functional settings.

    5. Contributes to the community through organizational efforts to build and sustain diversity, culture, recruitment, onboarding, mentoring, and/or development programs.

    6. Networks with key internal and external contacts and uses persuasion in delivering messages, mostly within their own area of expertise and sometimes outside.

    7. Advises team and XFN partners on complex matters in a product/business area.

    8. Takes a broad perspective on problems and exercises independent judgment in methods, techniques, and evaluation criteria for obtaining results.

    9. Engages leaders to gain buy-in and support for a new direction or opportunity.

    10. Contributes to setting team-level goals.

    11. Identifies, explains, and acts on own strengths and development needs.

    12. This level involves defining important problems and opportunities, often owning a complex or ambiguous area, driving results, and improving the effectiveness of the team.

    13. 10% Domestic travel required.

    Minimum Qualifications:

    Minimum Qualifications:

    14. Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences or related field and 3 years of experience in the job offered or in a data or analytics-related occupation

    15. Experience must include 3 years in some of the following:

    16. Algorithms, data structures, or systems software

    17. Solving analytical problems using quantitative approaches

    18. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

    19. Communicating complex technical machine learning concepts in a clear, precise, and actionable manner

    20. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

    21. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU

    22. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models

    23. Java, C++, Perl, PHP, or Python

    Public Compensation:

    $223,466/year to $235,400/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].