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Data Science Manager, - Monetization Ecosystem

In Capellen United States

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Data Science Manager, - Monetization Ecosystem   

JOB TITLE:

Data Science Manager, - Monetization Ecosystem

JOB TYPE:

Full-time

JOB LOCATION:

Menlo Park Capellen United States

JOB DESCRIPTION:

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 wont 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, - Monetization Ecosystem Responsibilities:

  • Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, influence, support, and execute product strategy and investment decisions
  • Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer term vision.
  • Actively influences the design of the strategy and shaping of the roadmap within this scope.
    Generate and use team insights to set and prioritize longer term goals.
  • Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Grow analytics expertise around you, upskilling your team, engineers, and others, to increase overall team impact.



Minimum Qualifications:

  • Experience communicating both in low-level technical details as well as high-level strategies
  • A minimum of 5 years of work experience (3+ years with a Ph.
    D.
    ) in applied quantitative field, including a minimum of 2 years of experience managing analytics teams
  • 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
  • 4+ years of experience in team leadership/people management through layers
  • Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
  • Track-record driving product roadmap and execution



Preferred Qualifications:

  • Masters or Ph.
    D.
    degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
  • Proven track record of leading high-performing analytics teams.
  • 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space



About 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 todaybeyond the constraints of screens, the limits of distance, and even the rules of physics.



Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Meta participates in the E-Verify program in certain locations, as required by law.
Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.


Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.
com.

Position Details

POSTED:

EMPLOYMENT:

Full-time

SALARY:

281000 per year

SNAPRECRUIT ID:

S-1707247968-49459bf478d2b09453ea3778b9b8c4f5

LOCATION:

Capellen United States

CITY:

Menlo Park

Job Origin:

jpick2

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In Dallas Fort Worth
Aug 19, 2017 9am-6pm
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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 wont 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, - Monetization Ecosystem Responsibilities:

  • Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, influence, support, and execute product strategy and investment decisions
  • Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer term vision.
  • Actively influences the design of the strategy and shaping of the roadmap within this scope. Generate and use team insights to set and prioritize longer term goals.
  • Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Grow analytics expertise around you, upskilling your team, engineers, and others, to increase overall team impact.



Minimum Qualifications:

  • Experience communicating both in low-level technical details as well as high-level strategies
  • A minimum of 5 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including a minimum of 2 years of experience managing analytics teams
  • 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
  • 4+ years of experience in team leadership/people management through layers
  • Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
  • Track-record driving product roadmap and execution



Preferred Qualifications:

  • Masters or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
  • Proven track record of leading high-performing analytics teams.
  • 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space



About 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 todaybeyond the constraints of screens, the limits of distance, and even the rules of physics.


Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


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