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Tesla Battery Data Science Intern Jobs (NOW HIRING)

... battery-grade graphite, unlocking new possibilities for advanced materials while solving urgent ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development ...

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making.

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

What you will do Join us as Data Scientist Intern to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are ...

Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development ...

Data Scientist Intern

Pleasanton, CA · On-site

$30 - $35/hr

As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets ...

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Tesla Battery Data Science Intern information

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How much do tesla battery data science intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for tesla battery data science intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Tesla Battery Data Science Intern, and why are they important?

To thrive as a Tesla Battery Data Science Intern, you need a solid background in data analysis, machine learning, and statistical modeling, often supported by coursework or experience in engineering, computer science, or a related field. Proficiency with Python, SQL, data visualization tools (like Tableau or matplotlib), and familiarity with battery or energy systems is often required. Strong problem-solving skills, collaboration, and the ability to communicate technical results clearly are essential soft skills. These competencies enable interns to extract actionable insights from complex battery datasets, supporting Tesla's innovation and product optimization.

What does a Tesla Battery Data Science Intern do?

A Tesla Battery Data Science Intern works with large datasets related to battery performance, quality, and lifecycle. They use data analysis, statistical modeling, and machine learning to extract insights, identify trends, and help improve battery technology. Interns may collaborate with engineers and researchers to optimize battery efficiency, predict failures, and support innovation in Tesla's energy storage solutions. The role provides hands-on experience with cutting-edge technology and data science tools in a fast-paced environment.

What types of projects might a Tesla Battery Data Science Intern work on during their internship?

As a Tesla Battery Data Science Intern, you can expect to work on projects involving large-scale battery performance data analysis, developing predictive models to forecast battery health, and supporting the optimization of battery management systems. Interns often collaborate closely with engineers and other data scientists to identify trends, troubleshoot issues, and propose solutions that improve battery efficiency and longevity. The role provides hands-on experience with real-world data, exposure to advanced machine learning tools, and opportunities to present findings to cross-functional teams, making it a valuable stepping stone for a career in data science or energy technology.

What is the difference between Tesla Battery Data Science Intern vs Tesla Battery Data Analyst?

AspectTesla Battery Data Science InternTesla Battery Data Analyst
Required CredentialsEnrolled in or recent graduate of a relevant degree (e.g., Data Science, Engineering)Degree in Data Science, Statistics, Engineering, or related field; experience preferred
Work EnvironmentInternship program, collaborative team setting, hands-on projectsFull-time role, analyzing data, generating reports, supporting decision-making
Employer & Industry UsageTesla, automotive and energy storage industryTesla, automotive and energy storage industry

The Tesla Battery Data Science Intern position is an entry-level internship focused on supporting data projects, while the Tesla Battery Data Analyst is a full-time role involving ongoing data analysis and reporting. Interns gain practical experience, whereas analysts are responsible for continuous data insights to inform business decisions.

Infographic showing various Tesla Battery Data Science Intern job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 17% Full Time, 48% Temporary, 3% Contract, and 29% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Summer 2026 - Data Science Intern, Research Central

Summer 2026 - Data Science Intern, Research Central

Vera Institute of Justice

New York, NY

$17 - $25/hr

Other

Posted 8 days ago


Job description

About the role:

The Data Science Intern for Research's Central Data Science team is an opportunity for a college student or recent grad to immerse themselves in a data role at a non-profit organization. Their work will support a pilot project that supports a national initiative by using machine learning models to build more robust datasets for research.  

The data science intern will work closely with the Senior Data Scientist on setting up the data and infrastructure required to enable the use of ML and AI on messy administrative data. They will gain practical experience in working with realistic datasets to enable impactful analysis on the criminal legal system. They will participate in all day-to-day team activities, ranging from project planning and execution, infrastructure discussions, code review sessions, and more. They will work directly with a senior data scientist on a range of responsibilities including data collection, document review, data prep, and analysis. 

1. Document Review & Data Prep  

  • Review files provided by Vera's external partner to identify relevant documents for data extraction  
  • Review police reports and other text data to label and create dataset structures 
  • Review semi-structured text data fields to condense into coded categorical variables 

2. Automated data collection and codebase maintenance 

  • Contribute code to existing automated data collection system as needed for the pilot's evolving requirements 

3. Data Analysis 

  • Develop descriptive and other summary statistics in support of model development, validation, and evaluation  
  • Support senior data scientist in other analytical tasks as needed 
What qualifications are we looking for?
  • Currently enrolled in or recent graduate of a college program in data science, a computational social science, statistics, public policy, or a related discipline 
  • Commitment to using research and analysis to end mass incarceration and undo racism and inequity in the criminal legal system 
  • Proficiency developing code collaboratively using GitHub 

Preferred: 

  • Experience working with messy administrative datasets in an academic or professional setting 
Technical knowledge helpful for this role:

The current tech stack uses the following technologies and working familiarity in the following is preferred:  

  • Python and/or R 
  • GitHub 
  • Cloud Technologies such as Microsoft Azure 
  • SQL & relational databases 
  • Command Line  
Location:

Please note this role will report to our Brooklyn, NY office. Vera employees adhere to a hybrid schedule and are in-office on an alternating schedule that generally amounts to 10 days per month.

Compensation and Benefits:

The compensation range for this position is $17.00-$25.00. Actual salaries will vary depending on factors including but not limited to experience and performance.

Application Process:
To receive further consideration for this career opportunity, applicants are asked preliminary questions about logistics, their interest and qualifications. Selected candidates may be required to provide additional details about their experience via a phone screen/form in advance of an invitation for a virtual or in-person interview with the team. Some searches may explore scenarios during the interview process and/or an assessment prior to reference checks and a hiring decision.
Applications may also be faxed to:

ATTN: People, Place, and Culture / [JOBTITLE]
Vera Institute of Justice
34 35th St, Suite 4-2A, Brooklyn, NY 11232
Fax: (212) 941-9407
Please use only one method (online, mail or fax) of submission.
No phone calls, please. Only applicants selected for interviews will be contacted.

Vera is an equal opportunity employer. All qualified applicants will be considered for employment without unlawful discrimination based on race, color, creed, national origin, sex, age, disability, marital status, sexual orientation, military status, prior record of arrest or conviction, citizenship status, current employment status, or caregiver status. 

Vera works to advance justice, particularly racial justice, in an increasingly multicultural country and globally connected world. We value diverse experiences, including with regard to educational background and justice system contact, and depend on a diverse staff to carry out our mission. 

For more information about Vera, please visit www.vera.org.