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  • Data Scientist

    Meta (New York, NY)



    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:

    Data Scientist Responsibilities:

    1. Apply your expertise in quantitative analysis, machine learning, AI, data privacy and security, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.

    2. Validate data quality and integrity.

    3. Mine massive amounts of data with privacy concepts and perform large-scale data analysis to extract useful business insights.

    4. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.

    5. Building models of user behaviors for analysis or to power production systems.

    6. Partner with Product and Engineering teams to solve problems, support data privacy review, and identify trends and opportunities.

    7. Design and implement dashboards and reports that track key business metrics and provide actionable insights.

    8. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.

    9. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.

    Minimum Qualifications:

    Minimum Qualifications:

    10. Requires a Master’s degree (foreign equivalent accepted) in Business Analytics, Data Science, Computer Science, or a related field and 2 years experience in the job offered or in a related occupation.

    11. Requires 2 years experience involving the following:

    12. 1. Machine learning algorithms

    13. 2. Preference of knowledge on data privacy and security

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

    15. 4. Relational database (SQL or PL*SQL)

    16. 5. Developing in programming language: PHP, Python, or Perl

    17. 6. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata

    18. 7. Large scale data processing infrastructures using distributed systems (Hadoop, Spark, Hive, MapReduce, or MPI)

    19. 8. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive, inferential statistics, deep learning techniques, optimization and heuristics

    20. 9. Communicating and presenting results of data analyses

    Public Compensation:

    $183,848/year to $196,900/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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