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  • Data Science Manager

    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 Science Manager Responsibilities:

    1. Perform technical data science duties and oversee a team of Data Scientists.

    2. Serve as an analytics leader to work on Meta’s core social media products and drive informed business decisions.

    3. Oversee the work of Data Scientists as they perform quantitative analysis and data mining.

    4. Work with one of the richest data sets in the world and cutting edge technology.

    5. Use analytics to drive the understanding, progression, and user engagement of a product.

    6. Build and maintain reports, dashboards, and metrics to monitor the performance of products.

    7. Present statistical data to management in order to inform, influence, and execute Meta’s product decisions.

    8. Drive data science efforts, communicate cross-functionally, and be a subject matter expert.

    9. Partner with Product and Engineering leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps.

    10. Lead Data Scientists as they mine massive amounts of statistical data and extract useful product insights.

    11. Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product launches.

    12. Inform, influence, support and execute our product decisions.

    13. Support organizational efforts to screen and recruit members to the data science team.

    14. Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team.

    15. Create road maps and prioritize work to optimize the impact of the data science team.

    16. Develop and communicate clear requirements and goals for team members.

    17. Provide timely and actionable feedback on performance to team members.

    18. Support the individual and career growth of team members to minimize attrition and maximize impact.

    19. Help promote an unbiased and rewarding work environment by fairly and accurately recognizing high impact team members.

    Minimum Qualifications:

    Minimum Qualifications:

    20. Employer will accept a Bachelors’ degree (or foreign equivalent) in Computer Science, Software Engineering, Applied Sciences, Statistics, Mathematics, or related field, and 36 months of work experience in the job offered or in a data science or computer-related occupation

    21. Experience must include 36 months of experience in the following:

    22. 1. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics

    23. 2. Data analysis and algorithm development

    24. 3. Optimization, probability, statistics, or machine learning

    25. 4. Large data stores

    26. 5. ETL (Extract, Transform, Load) processes

    27. 6. Relational databases and SQL

    28. 7. Development in PHP, Python or Perl

    29. 8. Large data sets

    30. 9. Large scale data processing infrastructure using distributed systems (Hadoop, Hive, MapReduce, Teradata, or MPI)

    31. 10. Statistical analysis packages such as: R, MATLAB, SPSS, SAS or Stata

    32. 11. Technical presentation skills

    33. 12. Working with cross-functional teams to choose/create metrics and set metric goals

    34. 13. Mentoring junior team members and contributing to organizational development

    Public Compensation:

    $289,786/year to $325,270/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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