Job Description

What to Expect

The Supply Chain Analytics & Engineering team at Tesla is seeking a highly skilled Sr Data Analyst to build and scale predictive analytics and machine learning capabilities for our global supply chain organization. In this role, you will own and improve critical ML models that drive strategic supply chain decisions, co-design AI applications with our Data Engineering team, and partner with Data Analysts to identify and develop new ML-driven solutions across multiple scopes in Supply Chain. You will interact with stakeholders at all levels, including executives, requiring strong technical depth, excellent communication skills, and the ability to translate complex modeling outcomes into actionable business insights. As part of a fast-paced, innovative environment, the ideal candidate will be a self-starter with deep expertise in machine learning, a passion for operationalizing models at scale, and a track record of delivering measurable business impact through data science.

What You’ll Do

• Co-design AI applications with the Data Engineering team, defining model requirements, performing feature engineering, and managing the full model lifecycle (MLOps) from development through deployment and monitoring
• Develop and maintain scalable ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and serving infrastructure
• Translate complex analytical findings into clear, actionable recommendations for Supply Chain leadership and cross-functional stakeholders, drive the team's evolution from descriptive and operational analytics into predictive and prescriptive decision support
• Evaluate and adopt emerging ML/AI techniques and tools to continuously improve model performance and expand the team's data science capabilities
• Collaborate with cross-functional teams to align data science solutions with business goals and deliver measurable outcomes

What You’ll Bring

• Degree in Data Science, Machine Learning, Statistics, Computer Science, or a related quantitative field, or equivalent experience and evidence of exceptional ability
• 3-5 years of experience in applied Data Science or Machine Learning, with a proven track record of building, deploying, and maintaining ML models in production environments
• Strong proficiency in Python and ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) for model development, evaluation, and deployment
• Experience with clustering, classification, regression, time-series forecasting, and NLP techniques applied to real-world business problems
• Proficiency in SQL for data extraction, transformation, and analysis across large-scale datasets
• Hands-on experience with MLOps practices, including model versioning, experiment tracking (e.g., MLflow), automated retraining, and monitoring model drift
• Familiarity with workflow orchestration tools (e.g., Airflow) and containerized deployment (e.g., Docker, Kubernetes)
• Strong communication and collaboration skills, with the ability to present complex technical concepts to non-technical stakeholders and work effectively across cross-functional teams
• Experience in supply chain, manufacturing, or procurement analytics is a plus

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

$120,000 - $216,000/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.