Meta is seeking to improve the efficiency and scalability of its data center operations by leveraging data and insights to drive decisions, and to enable predictability, consistency, and proactive actions.
Requirements
- 7+ years of experience in analytics, engineering, use of AI and/or workflow automation for business improvement
- 7+ years of SQL development experience writing queries, R or Python
- Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms
- Significant experience with data visualization tools and leveraging data driven models to drive business decisions
- Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.)
- Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
- Experience working with tools like R, Tableau, Python, and SQL to drive efficient analytics
Responsibilities
- Translate business challenges into clear, actionable requirements for AI-enabled solutions
- Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
- Design, build and implement AI-driven automation solutions to uncover operational data insights that drive decision making
- Develop and deploy solutions and AI prompts to identify and address operational bottlenecks, replacing manual interventions with intelligent automation
- Create scalable automation mechanisms that proactively monitor, analyze, and report on operations
- Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize operations
- Surface actionable insights that enable data-driven, proactive decision-making in global operations
Other
- Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Science or commensurate experience)
- Travel up to 30-49% required
- Leadership and/or team management experience (preferred)
- Experience designing measurement systems to assess large scale performance (preferred)
- Demonstrated experience with proactively identifying, scoping and implementing solutions
