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Meta · 12 hours ago

Data Scientist

Menlo Park, CA

Full-time

Onsite

Senior Level

$147K/yr - $208K/yr

6+ years exp

Meta is seeking a skilled and motivated Data Scientist to join our Infrastructure Data Centers team. In this role, you will partner with stakeholders to translate data into value, working on projects that improve operational efficiency and decision-making through analytics and machine learning solutions.

Computer Software

Comp. & Benefits

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

Educate and influence stakeholders to enhance operational efficiency with empathy

Recommend process improvements based on operational data and user behavior to boost business performance

Mentor team members on data science best practices

Qualification

SQLPythonMachine LearningStatistical ModelingData VisualizationData AnalysisData ProcessingCommunication SkillsMentoring

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

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

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

Preferred

Technical knowledge of data center operations

Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field

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