Job Specifications
Meta is seeking a highly skilled Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta’s Infrastructure Data Centers’ data into value. You will have the opportunity to work on a wide range of data science projects, such as 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.You will have experience with working in ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions. This position is part of the Infrastructure Data Centers organization.
Data Scientist 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
Educate and influence stakeholders to enhance operational efficiency with empathy
Recommend process improvements based on operational data and user behavior to boost business performance
Minimum Qualifications:
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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
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 Qualifications:
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
Communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as