Data Science Intern
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Job Description
About Tesla Internship Recruiting Team:
The Tesla Internship Recruiting Team is dedicated to identifying and nurturing emerging talent. Their year-round program places top students in roles designed for technical, professional, and personal growth. Interns work closely with managers, mentors, and teams on projects crucial to Tesla’s success, providing a comprehensive experience of life at Tesla.
About The Role: Data Science Intern
The Data Science Intern will leverage extensive datasets and models to assist Tesla engineers in designing and validating high-quality, reliable products. Responsibilities include:
• Data Collection and Modeling: Gathering substantial real-time data from testing, manufacturing, and the Tesla vehicle & energy product fleet. Developing statistical models to inform decisions regarding prognostics and targeted design improvements. This work directly impacts millions of Tesla customers.
• Software Development: Designing, developing, training, and deploying predictive/control models for physical degradation, usage, and system performance. Creating robust, adaptable, and automated software tools for complex real-time fleet analysis. Building scalable and reliable data pipelines to productionize and monitor models.
• Data Analysis and Communication: Addressing intricate questions about fleet usage and behavior to enable proactive monitoring, enhance reliability, and minimize field failures. Developing visualizations to effectively communicate analytical findings.
Specific Responsibilities:
• Design, develop, train, and deploy predictive/control models of physical degradation, usage, and system performance.
• Build robust, flexible, and automated software tools for complex analysis of real-time fleet data.
• Design scalable and reliable data pipelines to productionize and monitor both new and existing models.
• Answer complex questions on fleet usage and behavior to enable proactive monitoring, improve reliability, and minimize field failures.
• Build visualizations to effectively communicate results.
Required Skills and Qualifications:
• Currently pursuing a degree in Computer Science or a related Engineering field.
• Excellent software development skills and proficiency in writing production-quality code in Python.
• Strong understanding of linear algebra, probabilistic theory, numerical optimization, and deep learning, with practical implementation experience.
• Practical experience with low-level programming languages (C, Rust) and database technologies (SQL).
• Familiarity with PySpark and Big Data frameworks.
• Familiarity with CI/CD.
• Ability to code robust applications (potentially interfacing with data streams).
• General knowledge of physics and engineering principles.
