• Data Scientist, 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, Analytics Responsibilities:

    1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

    2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.

    3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

    4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

    5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

    Minimum Qualifications:

    Minimum Qualifications:

    6. Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Physics, Applied Sciences, or a related field and 60 months of progressive, post-baccalaureate experience in the job offered or in a Data Science-related occupation. Requires 60 months of progressive, post-baccalaureate experience in the following:

    7. 1. Machine learning techniques

    8. 2. Working with large data sets and network-based data, including TCP or HTTP

    9. 3. ETL (Extract, Transform, Load) processes

    10. 4. Relational databases, including SQL or PL*SQL

    11. 5. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata

    12. 6. Large scale data processing infrastructures using distributed systems, including Hadoop, Hive, MapReduce, or MPI

    13. 7. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics

    14. 8. Communicating and presenting results of data analyses

    Public Compensation:

    $218,723/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].