Summary:
As a Manager of Data Science and Analytics at Meta, you will play a pivotal role in shaping the experiences that impact billions of users and numerous businesses and creators worldwide. Leverage your leadership, project management, analytical, and technical skills to unlock the potential of one of the largest datasets globally. Collaborate with a diverse group of cross-functional partners across various fields, including Product, Engineering, Research, and Marketing. Your efforts will directly influence product strategy and investment decisions through data-driven insights. Join a thriving analytics community dedicated to career growth and skill development.
About the role:
• Product leadership: Utilize data to navigate the product and business landscape, pinpointing new opportunities and challenges, while guiding product development that enhances the value we provide to users and businesses.
• Analytics: Lead product teams by offering data-driven insights, developing hypotheses, and employing a comprehensive suite of analytical methodologies and frameworks to validate them.
• Communication and influence: Go beyond presenting data by crafting compelling data stories. Persuade key stakeholders with clear insights and actionable recommendations.
• People leadership: Inspire and cultivate a high-performing team of data scientists, fostering a collaborative and innovative environment.
Responsibilities:
• Lead a team of data scientists to formulate strategies for our global products that impact countless users and businesses.
• Drive analytics projects from inception to completion in partnership with Product, Engineering, and other teams to inform and execute product strategies.
• Influence product direction through impactful presentations to leadership.
• Work with extensive and complex datasets to tackle challenging problems using diverse analytical and statistical techniques.
• Measure the success of product initiatives through goal setting, forecasting, and monitoring key performance metrics.
• Identify improvement opportunities and drive product roadmaps via data-driven insights and recommendations.
• Participate in advancing the Data Science discipline at Meta by fostering best practices, enhancing analytical processes, and mentoring team members.
Minimum Qualifications:
• A Bachelor’s degree or equivalent practical experience, completed prior to joining Meta.
• A minimum of 4 years of experience in applied analytics (2+ years with a Ph.D.), including at least 2 years of managing analytics teams.
• Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), and statistical software (e.g., R).
• Experience leading analytical projects independently.
• Successfully communicated analytical results to senior leadership.
Preferred Qualifications:
• Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field.
• Experience in technology, consulting, or finance sectors.
• Demonstrated success in leading high-performance analytics teams.
Public Compensation:
$173,000/year to $242,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer, committed to diversity in the workplace. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, or other legally protected characteristics. We also consider qualified applicants with criminal histories, as applicable by law. Meta participates in the E-Verify program in certain locations.
Meta is dedicated to providing reasonable accommodations for candidates with disabilities throughout our recruiting process. If you require assistance due to a disability, please inform us during the application process.
