​Senior Data Scientist​, Reliability Engineering

Key Skills

Apache Airflow, Data Analysis, Data science techniques, Data Visualization, Effective communication skills, ETL frameworks, Machine learning techniques, matplotlib, PowerBI, PySpark, Python Programming, seaborn, SPARK Programming, SQL, Tableau, Teamwork

Job Description

What You’ll Do

• Own the development of new performance metrics based on fundamental physics of operation for efficiently predicting reliability in test and real-world environments.
• Access and rapidly execute analyses of large datasets through developing customized code and scripting in Python or other programming languages. 
• Build dashboards and other visualizations for effectively communicating analyses to cross-functional teams. 
• Conduct studies to predict data-driven service repair, replacement, and maintenance needs. 
• Proactively improve and maintain projects based on feedback from the broader engineering team and integration with Data Science, Design, and Test organizations. 

What You’ll Bring

What you’ll bring 

• 2+ years’ experience in data science, machine learning, and data optimization.
• Demonstrated proficiency with SQL and Python.
• Experience with data manipulation in Pandas and Pyspark including experience in deploying efficient queries in a distributed computing environment. 
• Experience in building interactive visualizations and dashboards using Matplotlib, Seaborn, Bokeh, Tableau, Power BI, or similar visualization tools. 
• Excellent teamwork/interpersonal skills with demonstrated ability to collaborate and communicate with multiple engineering disciplines. 
• Remain engaged, proactive and positive in tough circumstances. Able to adjust priorities on short notice to meet deadlines. 
• Solid background in applied statistics and machine learning. 
• Knowledge of reliability engineering and physics of failure principles. 
• Familiar with Data Pipelining (ETL, Airflow, Spark Data Analyses). 
• Comfortable in an environment with unstructured, incomplete, and ambiguous data. 

Requirements: 

• BS or higher degree in Mechatronics, Robotics, Electrical Engineering, or a related field, or equivalent work experience. A master's degree or Ph.D. is a plus. 
• 2+ years of experience working on reliability, test development and data analysis of mechatronic, preferably robotic systems (including relevant internship or academic lab work). 

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)
• LGBTQ+ care concierge services
• 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 - $276,000/annual salary + cash and stock awards + benefits