Meta is seeking to translate Infrastructure Data Centers' data into value by developing analytics programs, conducting strategic analysis, and measuring Machine Learning models to drive operational efficiency and decision making.
Requirements
- Advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling
- Managing and analyzing large-scale data using Python, R, or similar languages
- Working with visualization tools such as Tableau, PowerBI, or similar
- Analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders
- Enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis
- Solid understanding of machine learning techniques and algorithms
- Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling
Responsibilities
- Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency
- Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation
- Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership
- Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations
- Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions
- Work closely with stakeholders, data engineers, and program/product managers to ensure a seamless progress
- Recommend process improvements based on operational data and user behavior to boost business performance
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of experience (4 years+ of experience post Ph.D.)
- Proven track record of managing and leading cross-functional projects and teams
- Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field (preferred)
- Communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions (preferred)
