Data Science Manager, Supply Chain Products

Meta Platforms, Inc.
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Job Description

  • Maintain a high bar in terms of product thinking and analytical depth for your team through selective hiring and mentorship
  • Set goals and metrics to guide and prioritize growth product roadmaps
  • Conduct analytics studies to identify new product opportunities and shape product strategy
  • Size opportunities to ensure product teams are working on the most impactful projects
  • Partner and heavily contribute to major analytical and product initiatives across Enterprise Products (Supply Chain, Financial, Knowledge, and Commerce tools)
  • Empower the Data Science Analytics role in Product Operation: Product Operation: forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, evaluating and defining metrics
  • Empower the Data Science Analytics role in Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metrics, building models of user behaviors for analysis or to power production systems
  • Empower the Data Science Analytics role in Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams, spreading best practices to analytics and product teams
  • Empower the Data Science Analytics role in Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, automating analyses and authoring pipelines via SQL and Python based ETL framework

Minimum Qualifications

  • Proven judgment in balancing practical business needs and scientific rigor
  • Working knowledge of predictive modeling, machine learning, and experimentation/causal inference methods
  • Proven communication skills and experience connecting with and influencing a broad spectrum of audiences
  • Bachelor's in a quantitative field (Physics, Economics, Computer Science, Engineering, Mathematics, Psychology)
  • 4+ years of experience in querying complex data to generate impactful insights
  • Experience manipulating data sets through statistical software (R or Python)
  • 2+ years’ experience in building and managing high-performing data science and analytics teams
  • Proven experience forming partnerships with and influence cross-functional leaders in engineering, product, design, research, etc.
  • 4+ years of experience in Product Data Science and/or Growth Analytics, including in depth experience with experimentation

Preferred Qualifications

  • Master's or Ph.D. in a quantitative field (Physics, Economics, Computer Science, Engineering, Mathematics, Psychology)

Company Info.

Meta Platforms, Inc.

Meta Platforms (formerly known as Facebook Inc.) is a large technology company that was founded in 2004 by Mark Zuckerberg and several of his college roommates. The company is based in Menlo Park, California, and is primarily known for its flagship social media platform, Facebook. In addition to its consumer-facing products, Meta Platforms also offers a range of advertising and marketing services to businesses and organizations.

  • Industry
    Advertising,Consumer electronics,Social media Company,Artificial intelligence
  • No. of Employees
    76,000
  • Location
    1 Hacker Way, Menlo Park, CA 94025, USA
  • Website
  • Jobs Posted

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