Data Statistician

Tesla Motors
Fremont, CA, United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$96,000.0 - $144,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Computer Programming Continuous Integration Data Validation Extract Transform Load (ETL) Django Web Framework Global Distribution Systems Monitoring of Systems Python (Programming Language) Machine Learning NumPy
+17 more
Software Tools Tensorflow Service-Oriented Architecture SQL Databases Digital Twin Pytorch ReactJS Large Language Models Prompt Engineering Pandas Containerization Scikit Learn Optimization Algorithms Machine Learning Operations Restful APIs Software Version Control Docker

Job description

We are seeking a highly skilled and driven Data Statistician with software skills to help us develop the next Supply Chain platform with a focus on Inbound analytics, agent development and day-to-day operations. 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. The role is expected to simultaneously handle multiple projects of department-level scale and global reach. This role is a strong fit for someone early in their career who is eager to build deep operational knowledge and grow into a ML engineering role. What You’ll Do

  • Build and maintain ETL pipelines and recurring analytics to support inbound and service parts operations decision-making

  • Conduct deep-dive analyses on supply chain performances, including benchmarking, patterns and bottlenecks diagnosis as well as scenario modeling

  • Develop and integrate Digital Twin capabilities that unify inbound supply, outbound demand, logistics constraints, warehouse capacity, contributing to feedback loops, data validation and platform testing

  • 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 ML models to analyze bottlenecks for Service Parts Operations, specifically on prep performance and diagnosis

  • Deliver multi-model finance optimizations that integrate cost strategies, simulate disruptions and recommend initiatives to improve overall throughput and productivity while maintaining costs low

  • Support engagement and efficient integration of Supply Chain tools within the network

  • 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

Requirements

  • Degree in Data Science, AI, Applied Math or Operations Research, or equivalent experience

  • Strong foundation in mathematics, algorithms, and optimization techniques

  • Expertise in large language models, autonomous AI agents, prompt engineering, and modern AI frameworks

  • 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 familiarity with containerization and orchestration tools such as Docker and Kubernetes

Benefits & conditions

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

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