Data Science Manager

Meta Meta · Big Tech · Menlo Park, CA +1 · Remote

Data Science Manager at Meta to lead a team in delivering world-class products by leveraging quantitative analysis, data mining, and data presentation to understand user interaction, identify trends, and inform product decisions. Responsibilities include managing data resources, building reports and dashboards, and influencing product strategy through data insights and experimentation.

What you'd actually do

  1. Help build and lead a great data science team to deliver world-class products.
  2. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
  3. Inform, influence, support, and execute our product decisions.
  4. Mine massive amounts of data and extract useful product insights.
  5. Manage development of data resources, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful.

Skills

Required

  • Master's degree (or foreign degree equivalent) in Information Science, Data Science, Statistics, Business Administration, or related field
  • 2 years of experience in job offered or related occupation
  • Managing other team members in a formal or informal capacity
  • Quantitative analysis at a technology company, consulting, investment banking, or product management
  • SQL or other programming languages
  • Initiating and driving projects to completion with minimal guidance
  • Communicating and representing results of analysis to senior leadership
  • Communicating the results of analyses to leadership teams to influence the strategy
  • Applied statistics or experimentation, including A/B testing, in an industry setting

What the JD emphasized

  • quantitative analysis
  • data mining
  • presentation of data
  • users interact with our core products
  • solve problems
  • identify trends and opportunities
  • inform, influence, support, and execute our product decisions
  • mine massive amounts of data
  • extract useful product insights
  • build and maintain reports, dashboards, and metrics
  • monitor the performance of our products
  • manage development of data resources
  • gather requirements
  • organize sources
  • support product launches
  • keeping the team accountable and impactful
  • Managing other team members
  • quantitative analysis at a technology company
  • initiating and driving projects to completion with minimal guidance
  • communicating and representing results of analysis to senior leadership
  • communicating the results of analyses to leadership teams to influence the strategy
  • applied statistics or experimentation
  • A/B testing