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Data Scientist, Analytics
Data Scientist, Analytics-March 2024
New York
Mar 28, 2026
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
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About Data Scientist, Analytics

  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, WhatsApp, and Novi 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, Analytics Responsibilities:

  Build business intelligence methodologies, processes, and analytic capabilities in support of escalation teams who have shared needs to make operational decisions based on data regarding their workflows.

  Use quantitative and qualitative research to perform analyses on operational risks, opportunities, and issues.

  Create solutions that deliver the awareness and insights teams’ need, in a way that is accessible, timely, and meaningful.

  Synthesize data analysis into reports and presentations that provide a coherent narrative about gaps and opportunities facing escalation teams, and explain analytic assessments that resulted from the analysis of raw data.

  Foster strong collaboration with technical and non-technical colleagueswhose decisions will be informed by data analysis.

  Understand requirements facing each team, and inspire consistent and scalable solutions that fulfill those needs.

  Work closely with dataoperations analysts who are responsible for building our operational instrumentation.

  Work in partnership to communicate business requirements and understand options for infrastructuresolutions to those requirements.

  Identify data and tooling requirements in order to influence project prioritization and roadmaps.

  Provide data support for escalation teams in critical escalations, as needed.

  Develop long-term strategies to increase the organizations ability to efficiently and autonomously investigate escalations via self-service tooling and via coachingand mentoring that result in the up leveling of escalation domain specialists.

  Minimum Qualifications:

  Minimum Qualifications:

  Master's degree in Computer Science, Management Science, Engineering, Information Systems, Analytics, Mathematics, or related field. Must have 36 months of experience in the job offered or in a related occupation. Experience must include 36 months of experience in the following skills and technologies

  Relational database (SQL or PL *SQL)Statistical analysis using SASLarge scale data processing infrastructures using distributed systems including Hadoop, Hive, MapReduce, or MPIQuantitative analysis techniques including clustering, regression, or pattern recognitionQuantitative analysis techniques including descriptive and inferential statisticsCommunicating and presenting results of data analysesPublic Compensation:

  $199,920/year to $224,000/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].

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