Data Scientist Manager, Central Product Platform
Meta
Data Scientist Manager, Central Product Platform
Job Description
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner. As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Locations
- Remote, US, USA (Remote)
- Menlo Park, CA, USA
- New York, NY, USA
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- leadershipintermediate
- project managementintermediate
- analytical skillsintermediate
- technical skillsintermediate
- creative skillsintermediate
- product intuitionintermediate
- collaborationintermediate
- data analysisintermediate
- hypothesis developmentintermediate
- rigorous analytical approachesintermediate
- storytellingintermediate
- influencingintermediate
- strategic partnershipintermediate
- team inspirationintermediate
- team leadershipintermediate
- team growthintermediate
- skill developmentintermediate
- career growthintermediate
Required Qualifications
- BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers Proven track record of leading high-performing analytics teams Experience communicating both in low-level technical details as well as high-level strategies Track-record driving product roadmap and execution Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering Experience supporting analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals Ideally a background in experimentation and survey research Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization (experience, 7 years)
Responsibilities
- Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
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Data Scientist Manager, Central Product Platform
Meta
Data Scientist Manager, Central Product Platform
Job Description
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner. As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Locations
- Remote, US, USA (Remote)
- Menlo Park, CA, USA
- New York, NY, USA
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- leadershipintermediate
- project managementintermediate
- analytical skillsintermediate
- technical skillsintermediate
- creative skillsintermediate
- product intuitionintermediate
- collaborationintermediate
- data analysisintermediate
- hypothesis developmentintermediate
- rigorous analytical approachesintermediate
- storytellingintermediate
- influencingintermediate
- strategic partnershipintermediate
- team inspirationintermediate
- team leadershipintermediate
- team growthintermediate
- skill developmentintermediate
- career growthintermediate
Required Qualifications
- BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers Proven track record of leading high-performing analytics teams Experience communicating both in low-level technical details as well as high-level strategies Track-record driving product roadmap and execution Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering Experience supporting analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals Ideally a background in experimentation and survey research Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization (experience, 7 years)
Responsibilities
- Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
Tags & Categories