Tesla - Palo Alto, CA

posted 2 months ago

Full-time - Entry Level
Palo Alto, CA
Transportation Equipment Manufacturing

About the position

The Analytics Engineer position within the Thermal & Chassis Engineering team at Tesla is a pivotal role that focuses on leveraging data analytics to enhance product performance and quality. This team is responsible for innovative projects such as the Tesla Heat Pump, Supermanifold, Octovalve, Superbottle, Airwave, and Bioweapon Defense Mode. The role involves collaboration with a diverse group of engineers, including Mechanical, Manufacturing, Electrical, Aerodynamics, Thermal, and Analytics Engineers, throughout all phases of product development—from initial concept through prototyping, production, and ongoing fleet support. The successful candidate will be integral in driving data analytics initiatives and working cross-functionally to identify opportunities for product improvements. In this role, you will analyze vehicle data to extract valuable insights that lead to actionable recommendations aimed at improving product performance and enhancing customer experience. You will be responsible for writing efficient SQL and Python code to handle complex queries across extensive datasets, building effective models that support analytical frameworks, and automating analyses through the use of SQL, Python, and Airflow-based ETL frameworks. The position requires a strong ability to identify, analyze, and interpret trends in complex data sets, and to communicate findings through dashboards and reports. The ideal candidate will possess a Bachelor’s Degree in Mechanical Engineering or a related field, along with prior experience in data analytics. A proven proficiency in SQL and Python, as well as familiarity with data visualization tools and techniques, is essential. The role also demands a first principles understanding of mechanical engineering concepts and experience with distributed computing technologies. This position offers a unique opportunity to contribute to significant product improvements and to work alongside a team of experts in a dynamic and innovative environment.

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 sets
  • 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, 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
  • Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset
  • Experience with distributed computing (Spark /Hive/Hadoop)
  • First principles understanding of mechanical engineering concepts with relevant project/research experience
  • Experience creating data products and dashboards in Tableau, R Shiny, or D3
  • Experience building machine learning models with demonstrated impact

Nice-to-haves

  • Experience with data visualization tools such as Tableau, R Shiny, or D3
  • Familiarity with machine learning frameworks and libraries
  • Knowledge of advanced statistical analysis techniques

Benefits

  • Aetna PPO and HSA plans with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental and vision plans with $0 paycheck contribution options
  • Company Paid HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • LGBTQ+ care concierge services
  • 401(k) with employer match
  • Employee Stock Purchase Plans
  • 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 including 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
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service