Data Science Manager, Analytics at Meta
Seattle, WA 98101
About the Job
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.
You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world
You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others
You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team
By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
About the role:
Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta
You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics: You will guide product teams using data and insights
You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories
You will convince and influence leaders using clear insights and recommendations
You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.Data Science Manager, Analytics ResponsibilitiesLead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world.Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.Influence product direction through clear and compelling presentations to leadership.Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g
analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.Minimum QualificationsCurrently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience
Degree must be completed prior to joining Meta.A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams.Experience with data querying languages (e.g
SQL), scripting languages (e.g
Python), and/or statistical/mathematical software (e.g
R).Experience initiating and completing analytical projects with minimal guidance.Experience communicating results of analysis to senior leadership.LocationsWarning noticeYour browser doesn't support mapbox-gl library
To see the map, turn on WebGL in your browser settings and try again.Data CenterAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses
When Facebook launched in 2004, it changed the way people connect
Apps 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
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support
If you need support, please reach out to
$173,000/year to $242,000/year + bonus + equity + benefits Individual pay is determined by skills, qualifications, experience, and location
Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable
In addition to base salary, Meta offers benefits
Learn more about benefits at Meta.
You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world
You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others
You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team
By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
About the role:
Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta
You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics: You will guide product teams using data and insights
You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories
You will convince and influence leaders using clear insights and recommendations
You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.Data Science Manager, Analytics ResponsibilitiesLead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world.Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.Influence product direction through clear and compelling presentations to leadership.Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g
analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.Minimum QualificationsCurrently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience
Degree must be completed prior to joining Meta.A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams.Experience with data querying languages (e.g
SQL), scripting languages (e.g
Python), and/or statistical/mathematical software (e.g
R).Experience initiating and completing analytical projects with minimal guidance.Experience communicating results of analysis to senior leadership.LocationsWarning noticeYour browser doesn't support mapbox-gl library
To see the map, turn on WebGL in your browser settings and try again.Data CenterAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses
When Facebook launched in 2004, it changed the way people connect
Apps 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
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support
If you need support, please reach out to
accommodations-ext@fb.com
$173,000/year to $242,000/year + bonus + equity + benefits Individual pay is determined by skills, qualifications, experience, and location
Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable
In addition to base salary, Meta offers benefits
Learn more about benefits at Meta.
