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Data Science Manager

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Meta

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

289786.00 - 325270.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • Help build and lead data science teams on projects to deliver world-class products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Manage development of data resources, gather requirements, organize sources, and support product launches and data science projects
  • Analyze data, business intelligence, and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta's product decisions and product launches by effectively communicating results to cross functional groups, including Online Ops, Product, and Engineering teams
  • Leverage data to provide insights about user behavior and to inform business decisions based on data mining on large, complex data sets and applying concepts in number theory, computational theory, data structures and algorithms
  • Predict and understand user patterns through analytical and statistical metric analysis
  • Apply quantitative skills in predictive modeling, business intelligence analysis, A/B tests, regression models, and machine learning to gather data insights
  • Partner with Product and Engineering teams to solve data problems and identify trends and opportunities
  • Build and analyze dashboards, reports and key data sets to empower operations and exploratory analysis
  • Automate analyses and author data pipelines via ETL framework
  • Develop strong business partnerships with the Online Ops, Product, and Engineering teams by translating strategic questions into structured analyses, defining success metrics, and developing reporting channels
  • Build key statistical data sets to empower operational and exploratory analysis, and automate analyses
  • Track current incoming volumes and trends in order to create forecasting models for operational insights
  • Assist in designing hypothesis testing experiments, analyze data collected and present results
  • Conduct ad hoc data analysis based on current team needs
  • Complete root cause analysis of different workflows in order to quantify problems, operationalize goals and identify priorities
  • Train team members on the use of reporting tools and lead data-driven business case solving courses

Requirements:

  • Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Mechatronic Engineering, Applied Sciences, Mathematics, Physics or related field
  • 3 years of work experience in job offered or in a computer-related occupation
  • 3 years of experience in Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
  • 3 years of experience in Working with SQL or other programming languages
  • 3 years of experience in Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
  • 3 years of experience in Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
  • 3 years of experience in Developing in scripting language: PHP, Python, or Perl
  • 3 years of experience in ETL (Extract, Transform, Load) processes
  • 3 years of experience in Communicating and presenting results of data analyses with product and leadership teams
  • 3 years of experience in Working with cross-functional teams to choose/create metrics and set metric goals
  • 3 years of experience in Mentoring junior team members and contributing to organizational development
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
March 03, 2026

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