What are the responsibilities and job description for the Statistician position at Tesla Motors, Inc.?
We are seeking a highly skilled and driven Data Scientist to develop Inventory Optimization Models that identify strategies for reducing overall inventory levels while minimizing excess and obsolescence. You will be part of the Supply Chain Optimization team that is managing strategic projects and continuous improvement efforts for Tesla's Global Distribution Network. The role requires the ability to build strong cross-functional working relationships with Material Planning, Logistics, Finance, Warehouse Operations and Service Operations teams. You will require a sharp business focus, a collaborative style of working, and a proactive and critical mindset. You need to acquire deep subject matter knowledge about systems, sourcing, planning and fulfillment processes to build models that drive impactful business changes. It is essential that you can think strategically, connect the dots in the bigger picture, as well as be comfortable in the details of the deliverables to drive operational improvements. The role is expected to simultaneously handle multiple projects of department-level scale and global reach.
What You'll Do
Build and deploy production-grade multi-echelon inventory optimization to minimize inventory levels, reduce excess and obsolescence, and improve service levels across Tesla's global distribution network
- Develop and integrate Digital Twin capabilities that unify inbound supply, outbound demand, logistics constraints, warehouse capacity, and network topology to enable near-real-time inventory visibility and decision support
- Architect, own, and operate end-to-end production ML pipelines, including CI/CD, model versioning, and orchestration, to ensure scalable, modular, reliable, and high-performance inventory optimization systems
- Design and implement intelligent inventory management agents with capabilities such as demand signal detection, stockout risk identification, and exception-based action-routing workflows
- Optimize multi-model architectures that integrate demand sensing, lead time variability, supplier reliability, and service-level constraints to improve forecast accuracy, reduce inventory carrying costs, and support enterprise-scale throughput
- Build and execute large-scale what-if simulations and sensitivity/stress tests to evaluate inventory positioning strategies, quantify impacts on cost, service levels, and warehouse operations, identify supply chain bottlenecks and resiliency gaps, and translate insights into actionable recommendations
- Translate complex quantitative results into clear narratives and visualizations, enabling leadership to make informed tradeoffs between inventory investment, service levels, and operational complexity across the global supply chain
What You'll Bring
Degree in Data science, AI, Applied Math, Operations Research, or
or equivalent experience- Strong foundation in mathematics, algorithms, and optimization techniques
- Proven hands-on experience designing, deploying, and scaling enterprise-grade AI/ML solutions, including building production-ready models, embedding them into business workflows, and ensuring reliability, performance, and scalability in real-world environments
- Deep expertise in large language models, autonomous AI agents, prompt engineering, and modern AI frameworks such as LangChain and LlamaIndex
- Strong programming proficiency in Python and SQL, with experience using libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch
- Hands-on experience developing full-stack applications using Django (Python), Java-based services, and React, with a solid understanding of RESTful API design, integration, and service-oriented architectures
- Knowledge of MLOps best practices, including CI/CD pipelines, model monitoring, and experience with containerization and orchestration tools such as Docker and Kubernetes
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Salary : $96,000 - $144,000