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  • Analytics Engineer

    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:

    Analytics Engineer Responsibilities:

    1. Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of Meta's infrastructure.

    2. Apply expertise in quantitative analysis and data mining to improve, optimize, and expand Meta’s infrastructure across a variety of domains with an emphasis on long-term and strategic initiatives.

    3. Work cross-functionally as a strategic partner to define priorities and develop project roadmaps in synergy with partner teams.

    4. Build consensus and earn commitment from partners.

    5. Drive execution through fast iteration.

    6. Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps.

    7. Drive efficient data exploration and modeling.

    8. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies.

    9. Generalize methodologies for broader application within and outside domain.

    10. Work on problems of diverse scope where analysis of situations or data requires evaluation of identifiable factors.

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

    Minimum Qualifications:

    Minimum Qualifications:

    12. Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Industrial Engineering, Operations Research, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation.

    13. Requires three years 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(s) including Python

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

    18. 5. Machine learning techniques

    19. 6. ETL (Extract, Transform, Load) processes

    20. 7. Relational databases

    21. 8. Large-scale data processing infrastructures using distributed systems

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

    Public Compensation:

    $190,686/year to $200,200/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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