California Jobs

Data Scientist


Pay$221024.00 / year
LocationSacramento/California
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 32827289245

      14 hours ago Be among the first 25 applicants

      Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META.

      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:

      • Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure.
      • Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives.
      • Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams.
      • Drive execution through fast iteration.
      • Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps.
      • Drive efficient data exploration and modeling.
      • 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.
      • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
      • Telecommuting is permitted from anywhere in the U.S.

      Minimum Qualifications

      Minimum Qualifications:

      • Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following:
        • Quantative Analysis
        • A/B Testing and Research Design
        • Statistical Modeling
        • Data Mining
        • Data Visualization and Storytelling
        • SQL
        • Python.
        Public Compensation

        $221,024/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 ...@fb.com.

        If you have questions about this posting, please contact ...@lensa.com

        Seniority level

        • Seniority level

          Entry level

        Employment type

        • Employment type

          Full-time

        Job function

        • Job function

          Engineering and Information Technology
        • Industries

          Internet Publishing

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  • About the company

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