Join our dynamic Supply Chain Analytics team at Meta, where we leverage our expertise in data science to drive significant advancements in Meta's infrastructure growth and scalability. Our team is at the forefront of applying statistical and machine learning techniques to optimize decision-making processes in areas such as demand/supply planning, capacity modeling, manufacturing quality, fulfillment simulations, and inventory optimization. We are currently seeking a Data Scientist with a specialization in operations research to develop statistical models that will support critical decisions across our supply chain strategy. In this role, you will collaborate with senior supply chain leaders, data engineers, and analysts to identify and implement quantitative methods, curate data sets, and develop statistical and machine learning solutions. This is an exciting opportunity to contribute to the development and deployment of these solutions at Meta's scale.
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Data Scientist (Applied Science), Infra Supply Chain Responsibilities:
- Form close collaborative relationships with business leaders and heavily influence supply chain strategy by identifying data science opportunities, actively prioritize and align with supply chain experts.
- Identify appropriate quantitative methods and build relevant data sets to address challenges within demand and supply planning, capacity modeling, manufacturing quality, fulfillment simulations, and inventory optimization
- Develop statistical and machine learning solutions end-to-end through the full life cycle of prototyping, testing, evaluating, deploying.
- Design, develop, and own algorithms and models, while partnering with application managers and software engineers to implement features into supply chain applications.
- Influencing supply chain strategy with gained research, insights, and scenario modeling.
- Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic supply chain considerations.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular supply chain needs.
- 8+ years of experience in building analytics using Python, R, API integration, and Web Services.
- 8+ years experience applying Operations Research (LP, IP, MILP) and Machine Learning & Statistical concepts (e.g. Monte Carlo Simulations, Anomaly Detection, Forecasting, Bootstrapping, Hypothesis Testing, Supervised Learning, Cluster Analysis)
- Experience with Hive and MySQL
- Experience in leading cross-functional projects
- Experience communicating machine learning solutions to all organizational levels
- Experience improving key supply chain workflows in context of supply chain business model across planning, sourcing, procurement, inventory, logistics, manufacturing functions.
- PhD or Master degree in Industrial Engineering, Operations Research, Operations Management, Statistics, Computer Science or other related technical field
- Expert with operations research techniques and statistical approach
- Technical knowledge of supply chains models and/or data center operations
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 an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.