Meta is seeking a Data Scientist to translate Meta's Infrastructure Data Centers' data into value by developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, measuring Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytic solutions.
Requirements
- 4+ years of experience (1+ years of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages
- 4+ years of experience (1+ years of experience post Ph.D.) working with visualization tools such as Tableau, PowerBI, or similar
- 4+ years experience (1+ years of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders
- 4+ years of experience (1+ years of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling
- Experience in 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
- Proficient in statistical analysis and experimental design
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
- Partner with stakeholders, program managers, and other data science functions
- Experience with working in ambiguous environment and creating impact from the ground up in a fast-paced environment
- Proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions
- Proven track record of managing and leading cross-functional projects and teams
- Educate and influence stakeholders to enhance operational efficiency with empathy
