Sr. Data Analyst, Machine Learning - #304914

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

Benefits
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

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.

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