Data Science Manager

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. **Responsibilities** - Help build and lead a great data science team to deliver world-class products. - Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products. - Partner with Product and Engineering teams to solve problems and identify trends and opportunities. - Inform, influence, support, and execute our product decisions. - Mine massive amounts of data and extract useful product insights. - Build and maintain reports, dashboards, and metrics to monitor the performance of our products. - Manage development of data resources, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful. **Telecommuting from anywhere in the U.S. allowed.** **Qualifications** - Requires Master's degree (or foreign degree equivalent) in Information Science, Data Science, Statistics, Business Administration, or related field and 2 years of experience in job offered or related occupation. - Experience must include 2 years of experience in each of the following: - Managing other team members in a formal or informal capacity. - Quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages. - Initiating and driving projects to completion with minimal guidance. - Communicating and representing results of analysis to senior leadership. - Communicating the results of analyses to leadership teams to influence the strategy. - Applied statistics or experimentation, including A/B testing, in an industry setting.