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. To apply, click “Apply to Job” online on this web page.
Responsibilities
Leverage data and business principles to drive large scale Meta's Data Center programs. Define and develop the program for metrics creation, data collection, modeling, and reporting the. operational performance of Meta's data centers. Collaborate with cross-functional data and business teams to define problem statements, access and manipulate data, build analytical. models, explain data-gathering requirements, deliver analytics insights, and make recommendations. Define, compute, track, and continuously validate business metrics with descriptive. and predictive analytics. Leverage tools like Python, SQL, R, and Tableau for analytics. Design & Implement statistical models such as Hypothesis testing, Forecasting, statistical process. control and simulation to evaluate critical business decisions and influence our Data Center planning & Operations. Identify gaps in the operational processes, build analytical models for. finding insights and helping in driving decisions across different org leadership. Provide mentorship to other members of the team on development of best practices for design and. implementation of cutting-edge analytics insights. Lead and support various ad hoc projects, as needed, in support of Data Center strategy.
Qualifications
Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Engineering, Mathematics, Statistics, Operations Research, Management Science, Actuarial science or a related field Requires completion of a graduate-level course, research project, or internship involving the following: Analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders SQL queries development Scripting in Python, R or similar languages Working with visualization tools such as Tableau, Power BI, or similar End-to-end managing and leading many cross-functional projects and cross-functional teams (both internal and external) Communication and storytelling experience to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions Statistics (e.g. modeling, experimental design, Hypothesis etc.) Data center operations Simulation and optimization techniques