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  • Data Scientist

    Meta (Burlingame, 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:

    Data Scientist Responsibilities:

    1. Perform research and develop solutions to computer software and computer hardware problems.

    2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.

    3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.

    4. Utilize technical research background, train new ranking models, and run experiments.

    5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.

    6. Use machine learning, statistics, or other data techniques to build algorithms.

    7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

    8. Analyze and resolve computer challenges from a system engineering standpoint.

    9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

    10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

    Minimum Qualifications:

    Minimum Qualifications:

    11. Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in job offered or computer-related occupation

    12. Requires two years of experience in the following:

    13. 1. Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product metrics

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

    15. 3. Partner with cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

    16. 4. Build credibility through structure and clarity, and be a trusted strategic partner

    17. 5. Convince and influence partners using clear insights and recommendations

    18. 6. Proficiency in data querying languages (SQL), and mastery of statistical analytics tool/mathematical software (RStudio, Python libraries such as Pandas, NumPy, Scikit-learn)

    19. 7. Data visualization tools (e.g. Tableau, PowerBI, BigQuery), version control tools (GitHub, GitLab), command line interfaces (Bash, Python), and business intelligence tools including Microsoft Dynamics, Microsoft SQL server, Microsoft Access, R, or SPSS

    20. 8. Understanding of data science best practices/methodologies, relational database management concepts, dimensional data modeling, data warehouse concepts and reporting techniques

    21. 9. Working with cross-functional teams (such as IT and internal customers) to design, develop, and deploy data-driven solutions

    22. 10. Articulate complex topics and communicate insights effectively to and work directly with end users to ensure results meet their needs

    23. 11. Develop actionable recommendations based on data insights and present clear, concise reporting on concurrent projects and issues, AND

    24. 12. Collaborate extensively across teams, including product management, engineering, and other stakeholders

    Public Compensation:

    $178,286/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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