Statistician
Tesla Motors, Inc.
Fremont, CA (In Person)
$120,000 Salary, Full-Time
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Job Description
Statistician Tesla Motors, Inc. 96,000 - 144,000 USD paid holidays, flex time, 401(k) United States, California, Fremont Apr 09, 2026
What to Expect 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
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
Expected Compensation
$96,000 - $144,000/annual salary + cash and stock awards + benefits 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.
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