Data Science Manager, Verification & Premium Support

Meta; London; On-site; GBP 60,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Data Science Manager, where you will leverage your analytical and leadership skills to influence product strategy and drive impactful projects. Collaborate with diverse teams to solve complex problems using large data sets, while inspiring and developing a talented team of data scientists. This exciting role offers the opportunity to shape the future of technology and analytics in a dynamic environment, fostering career growth and innovation. If you are passionate about data and leadership, this position is perfect for you.

Benefits

Health Insurance

Flexible Working Hours

Professional Development Opportunities

Wellness Programs

Remote Work Options

Employee Discounts

Qualifications

• 7+ years of experience in applied quantitative field with team leadership.
• Strong background in data analysis and statistical modeling.

Responsibilities

• Drive analytics projects end-to-end to inform product strategy.
• Lead and grow a team of data scientists focused on impact.

Skills

Data Analysis

Project Management

People Leadership

Statistical Modeling

Machine Learning

Communication Skills

Education

BS degree in quantitative discipline

Master’s or Ph.D. degree in quantitative field

Tools

Statistical Software

Data Visualization Tools

Job description

Data Science Manager, Verification & Premium Support

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, Operations, Sales, Finance, and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a productive and impact-oriented team. By joining Meta, you will become part of a diverse analytics community dedicated to skill development and career growth in analytics and beyond.

About the role:

1. 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.
2. 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.
3. 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 thought partner.
4. People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.

Responsibilities

1. 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.
2. Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer-term vision.
3. Actively influence 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.
4. Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
5. Work with large and complex data sets to solve a wide array of complex problems using different analytical and statistical approaches.
6. Grow analytics skills around you, upskilling your team, engineers, and others, to increase overall team impact.

Minimum Qualifications

1. 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.
2. A minimum of 7 years of work experience (3+ years with a PhD) in an applied quantitative field, including 2+ years of experience managing analytics teams.
3. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers.
4. Experience communicating both in low-level technical details as well as high-level strategies.
5. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering.
6. Experience with driving product roadmap and execution.

Preferred Qualifications

1. Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
2. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups.
3. 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space.
4. A minimum of 2 years of experience working on consumer-facing products.

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 today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.