Job Details

Data Scientist Cloud Platforms

Company name
Tesla Motors

Palo Alto, CA

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Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, superchargers, and stationary batteries and use it to make these products better and our customers safer.

We're the small but fast-growing team

which owns the platform for fleet time-series data, and the core analysis that needs to be run on that data. Our stack is used internally by hundreds of engineers, and externally in the form of customer-facing data services.

We're looking for a talented data scientist to join us as a foundational member of the team and to provide leadership in all areas that relate to analysis and data services. Working directly with data engineers and the broader community of scientists and analysts you'll guide analysis, define and operationalize data-services, and help inform the future development of our data platform.

You will support, guide, and lead the community, and help Tesla build a world-class data organization.


Many of your responsibilities will be project-based. Depending on capabilities of the partner team, the priority of their project, and its computational requirements, your responsibilities will include (in order of increasing involvement):

providing peer review of analysis and supporting production implementation

guiding the definition of the problem and its solution, with prototypes where appropriate

identifying opportunities and driving their solution and implementation

You will also be responsible for identifying and providing tooling that can increase productivity of the fleet analytics community such as feature extraction frameworks and model-predict-control workflows.


5 years experience in Python

2 years experience developing and operating high-uptime data services

5 years experience in advanced numerical methods

a strong predilection for good software and the processes that make it

diverse experience modeling physical and behavioral systems

proven success in the development and maintenance of customer-facing data services

smart but humble, with a bias for action

Nice to have

proficiency in Java, C , C

experience with Hadoop, HBase, Spark, HPC

experience manipulating 100's of terabytes of data

basic sysadmin capabilities

experience with physics-based models and electromechanical systems

Company info

Tesla Motors
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Company Profile
Tesla Motors, Inc. and its affiliates ("Tesla") respect your concerns about privacy. This Privacy Policy explains Tesla’s policies and procedures regarding personal and other information about our customers. Tesla intends to provide you with a level of comfort and confidence in how we collect, use, disclose, and safeguard personal and other information that we collect or that you provide to Tesla. This Privacy Policy also explains how you can contact us if you have any questions or concerns. This Privacy Policy describes our practices in connection with information that we collect through our websites, software applications, social media pages, e-mail messages, and your purchase or use of your Tesla vehicle, or personal information that you otherwise provide to Tesla. By providing personal information to us or by using our products or services, you agree to the terms and conditions of this Privacy Policy.

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