Staff Analytics Engineer, Thermal & Chassis

Thermal & Chassis Engineering is the team behind the Tesla Heat Pump, Supermanifold, Octovalve, Superbottle, Airwave, Bioweapon Defense Mode and more. Our multi-disciplinary team of mechanical, manufacturing, electrical, aerodynamics, thermal, and analytics engineers works together across all phases of development from idea inception, through prototyping, production, and fleet support.
You'll work alongside experts with many years of experience, high aptitude entry level candidates, and people from every stage in between. Collaboration, learning, and growth are core to the team's success.

We're looking for a key player who can help drive data analytics and work cross-functionally to uncover opportunities in product improvements. The candidate should have experience working with large datasets, and using data to help design critical metrics, characterize engineering systems, optimize product performance, and build useful data pipelines, visualizations, and dashboards.

Responsibilities

• Analyze vehicle data and extract useful statistics/insights that drive actionable recommendations to improve product performance/quality and customer experience
• Write efficient SQL/Python code and complex queries across extensive data set
• Build effective models to fuel analytical frameworks that drive material product improvements in hardware optimization, controls, and vehicle diagnostics
• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
• Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework

Requirements

• Bachelor's Degree in Mechanical Engineering, Computer Science, Math, Statistics or related field or equivalent experience
• Prior internship/work experience in data analytics or related field
• Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis
• Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.
• Experience working with time-series sensors data to perform robust engineering analyses
• Good organizational skills and an ability to prioritize and manage multiple projects simultaneously to meet deadline
• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset

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:

• Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary 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

$80,000 - $222,000/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.