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  • Senior Data Scientist

    Meta (Menlo Park, CA)



    Apply Now

    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:

    Senior Data Scientist 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 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 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 to 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.

    Minimum Qualifications:

    Minimum Qualifications:

    12. Requires a Bachelor's degree (or foreign equivalent degree) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field and 1 year of experience in the job offered or in a computer-related occupation.

    13. Experience must include 1 year of experience in the following:

    14. 1. Performing quantitative analysis including data mining on highly complex data sets

    15. 2. Data querying language: SQL

    16. 3. Scripting language: Python

    17. 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab

    18. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

    19. 6. Machine learning techniques

    20. 7. ETL (Extract, Transform, Load) processes

    21. 8. Relational databases and

    22. 9. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

    Public Compensation:

    $223,021/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].

     


    Apply Now



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