Data Science Manager, Infrastructure Data Centers

Meta Platforms, Inc.
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Job Description

  • Continue to build, lead and develop the Research Data Scientist team of individual contributors. Drive data science excellence by establishing data science best practices and applying latest proven technologies and frameworks.
  • Lead the team to design, build, evaluate, deploy and iterate on machine learning models/systems, striving for highest quality in code, algorithm, and solution.
  • Form strong partnerships across the org to collaborate and deploy several data science practices.
  • Leverage data and business principles to identify and solve complex business problems utilizing data science for the wider Infra Data Centers organization.
  • Partner with multiple cross-functional teams to define problem statements, collect data, build models and make recommendations.
  • Create, execute and track a roadmap of data science needs and deliverables for the IDC.
  • Continue to define and develop data science programs that support the strategic design, building and operations of Meta’s data centers.
  • Partner with Data Engineering, Business intelligence, and Analytics Solutions Engineering teams to develop robust predictive and prescriptive data science solutions for IDC organization.
  • Develop new techniques and data that will enable answering previously unanswerable and new questions.
  • Oversee development of machine learning and/or operations research models by the Research Data Scientists in the team and their subsequent integration into production.
  • Communicate effectively to all levels of the organization, including executives.
  • Provide leadership and mentorship to the team members.
  • Lead and support various ad hoc projects, as needed, in support of Meta’s Infrastructure strategy.

Minimum Qualifications

  • Advanced degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science).
  • 5+ years of experience in Analytics/Data Science/Data Engineering or Quantitative fields.
  • Experience instilling a culture of ownership, collaboration, and results.
  • Track record of recruiting talent in data engineering, analytics, and data science.
  • Track record of delivering analytics products and insights, and influencing business and engineering decisions.
  • Track record of successfully leading people & initiatives in a cross functional environment.
  • Demonstrated leadership experience - such as influencing partners, organizations, successful mentoring, supporting growth of other employees and teams etc.
  • Proven experience mentoring individual contributors.
  • Experience distilling and communicating data to all organizational levels.
  • Knowledge of statistics (e.g., hypothesis testing, regressions etc.).
  • Experience in R, Python & SQL to drive analytics.

Preferred Qualifications

  • MS or PhD degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Science).
  • Experience with Machine Learning, Artificial Intelligence, and Distributed Systems.
  • Experience in HDFS, Hive.
  • Hands-on experience with datasets (i.e. data extraction, cleaning, analysis and presentation).
  • Experience with big data and statistics.
  • Technical knowledge of data center operations.
  • 3+ years of experience leading teams and hands-on people management in a matrixed organization.

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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