Meta Platforms, Inc. (Meta) is looking to leverage data and business principles to drive large-scale Data Center programs by defining and developing metrics creation, data collection, modeling, and reporting of operational performance.
Requirements
- 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
- Statistics (e.g. modeling, experimental design, Hypothesis etc.)
- Data center operations
- Simulation and optimization techniques
Responsibilities
- Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance of Meta's data centers.
- 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.
Other
- 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.
- 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
- 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:
