Introduction to Meta and Our Mission
At Meta, we are committed to building technologies that help people connect, find communities, and grow businesses. Our journey began with Facebook in 2004, revolutionizing the way people connect. Since then, apps like Messenger, Instagram, and WhatsApp have further empowered billions around the world. Now, we are moving beyond 2D screens toward immersive experiences like augmented and virtual reality, aiming to build the next evolution in social technology. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
About the Role: Data Science Manager, Analytics
As a Data Science Manager at Meta, you will play a pivotal role in shaping the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners worldwide. This position requires a strong and diverse skillset in relevant areas to drive success, including people leadership, project management, analytical, and technical skills, as well as creativity and product intuition. You will apply these skills to one of the largest data sets in the world, collaborating 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.
Key Responsibilities
- Lead 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, using data-driven insights and recommendations to tell stories that convince and influence.
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches, identifying and measuring the success of product efforts through goal setting, forecasting, and monitoring of key product metrics.
- Define, understand, and test opportunities and levers to improve the product, driving roadmaps through your insights and recommendations, and contributing towards advancing the Data Science discipline at Meta.
Essential Qualifications
To be successful in this role, you will need:
- A Bachelor's degree or equivalent practical experience, with the degree 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, as well as communicating results of analysis to senior leadership.
Preferred Qualifications
While not required, the following qualifications are preferred:
- A Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
- Experience working in technology, consulting, or finance, with a proven track record of leading high-performing analytics teams.
Skills and Competencies
To excel in this role, you will need to possess a combination of technical, business, and leadership skills, including:
- Strong analytical and problem-solving skills, with the ability to work with large and complex data sets.
- Excellent communication and presentation skills, with the ability to tell data-driven stories and influence leadership.
- Strong leadership and management skills, with the ability to inspire, lead, and grow a high-performing team of data scientists and data science leaders.
- Ability to work in a fast-paced environment, with a strong focus on impact and a willingness to take calculated risks.
Career Growth Opportunities and Learning Benefits
At Meta, we are committed to providing our employees with opportunities for growth and development, including:
- Access to world-class training and development programs, designed to help you build new skills and advance your career.
- Opportunities to work on complex and challenging problems, with the potential to have a significant impact on the company and the world.
- A collaborative and dynamic work environment, with a team of talented and motivated professionals who are passionate about what they do.
Work Environment and Company Culture
At Meta, we pride ourselves on our unique and dynamic company culture, which is built around the following values:
- Be bold: We are not afraid to take risks and try new things, and we encourage our employees to do the same.
- Focus on impact: We are focused on making a positive impact on the world, and we expect our employees to be as well.
- Be open: We are open and transparent in our communication, and we expect our employees to be as well.
- Build awesome things: We are committed to building products and services that are awesome and that make a positive impact on people's lives.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including a salary range of $173,000/year to $242,000/year, plus bonus, equity, and benefits. Our benefits package includes:
- Comprehensive health insurance, including medical, dental, and vision coverage.
- 401(k) matching program, designed to help you save for retirement.
- Generous paid time off policy, including vacation, sick leave, and holidays.
- Access to on-site fitness centers and wellness programs, designed to help you stay healthy and happy.
Conclusion
If you are a motivated and talented data science professional who is looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Science Manager at Meta, you will have the chance to work on complex and challenging problems, to lead and grow a high-performing team, and to make a positive impact on the world. Don't miss out on this opportunity to join our team and help shape the future of technology. Apply now!
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