Meta is seeking a Data Scientist to join their Infrastructure Data Centers team to translate data into value, improve operational efficiency, and develop analytics programs and machine learning solutions to support decision-making and reduce manual effort.
Requirements
- 6+ years of experience (2 years+ of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
- 6+ years of experience (2 years+ of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages.
- 6+ years of experience (2 years+ of experience post Ph.D.) of working with visualization tools such as Tableau, PowerBI, or similar.
- 6+ years experience (2 years+ of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
- Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis
- Proven track record of managing and leading cross-functional projects and teams.
- 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 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.
- Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.
- Technical knowledge of data center operations.
- Knowledge of simulation and optimization techniques.
- Great communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions.
