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Entry Level Tesla Data Scientist Jobs (NOW HIRING)

University of Utah

Data Scientists

Campus, IL · On-site

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

Gain America

Entry Level Data Scientist

Hicksville, NY · On-site

$70K/yr

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

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Entry Level Tesla Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entry level tesla data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level tesla data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an entry level Tesla data scientist do?

An entry level Tesla Data Scientist is responsible for analyzing large sets of data to help improve Tesla’s products, operations, and business strategies. Their tasks typically include cleaning and preparing data, building statistical models, and creating data visualizations to present findings to stakeholders. They work closely with engineering, software, and business teams to solve real-world problems and drive data-driven decision making. Entry level data scientists at Tesla are also expected to continuously learn new technologies and analytical methods to contribute to Tesla’s innovative environment.

What types of projects do entry-level Tesla data scientists typically work on, and how do they contribute to larger company goals?

As an entry-level Data Scientist at Tesla, you can expect to work on projects involving data cleaning, exploratory analysis, and building predictive models to support areas like manufacturing, vehicle performance, or energy optimization. These projects often involve collaborating closely with engineers, software developers, and senior data scientists to translate business challenges into actionable data-driven solutions. Your work directly contributes to Tesla’s mission by improving operational efficiency, enhancing product features, or advancing sustainability initiatives. This role provides a dynamic environment with opportunities to learn from experienced professionals and to see the real-world impact of your analyses.

What are the key skills and qualifications needed to thrive as an entry level Tesla data scientist, and why are they important?

To thrive as an Entry Level Tesla Data Scientist, you need a solid background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, engineering, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with big data platforms such as SQL and Hadoop are often required. Strong problem-solving, communication, and collaboration skills help you convey complex findings and work effectively with cross-functional teams. These competencies are crucial for generating actionable insights that drive innovation and support Tesla’s data-driven decision-making.

What is the difference between Entry Level Tesla Data Scientist vs Entry Level Tesla Data Analyst?

AspectEntry Level Tesla Data ScientistEntry Level Tesla Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; some roles prefer internships or projectsBachelor's in Statistics, Data Analysis, or related field; similar entry requirements
Work EnvironmentCollaborative teams focused on advanced data modeling, machine learning, and predictive analyticsOperational teams analyzing data trends, generating reports, and supporting decision-making
Employer & Industry UsageUsed across Tesla's R&D, manufacturing, and product development departmentsCommonly employed in marketing, supply chain, and customer service departments

Entry Level Tesla Data Scientists focus on developing models and algorithms to drive innovation, while Entry Level Tesla Data Analysts interpret data to support business decisions. Both roles require similar educational backgrounds but differ in technical complexity and daily tasks.

Can I get an entry level Tesla data scientist job with no experience?

Entry level Tesla data scientist positions typically require some background in data analysis, programming (such as Python or R), and knowledge of machine learning. While prior experience is often preferred, candidates with relevant internships, coursework, or strong technical skills may be considered for entry-level roles. Demonstrating proficiency in data tools and a solid understanding of data science fundamentals can improve chances of qualification.
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Entry Level Tesla Data Scientist jobs near you
Infographic showing various Entry Level Tesla Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientists

University of Utah

Campus, IL • On-site

Full-time

Retirement

Re-posted 23 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

390th of 631 rated colleges and universities

Job description

Details
Open Date 07/16/2026 Requisition Number PRN45737B Job Title Data Scientists Working Title Data Scientists Career Progression Track P00 Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 00847 - Hematology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 75,000 - 105,000 Close Date 10/31/2026 Priority Review Date (Note - Posting may close at any time) 07/16/2026 Job Summary
Data Scientists
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Data Scientist, I
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires basic skill set and proficiency. Conducts work assignments as directed. Closely supervised with little latitude for independent judgment.
Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
This is an Entry-Level position in the General Professional track.
Job Code: P33861
Grade: P16

Data Scientist, II
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
This is a Developing-Level position in the General Professional track.
Job Code: P33862
Grade: P18

Data Scientist, III
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
This is a Career-Level position in the General Professional track.
Job Code: P33863
Grade: P20
Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:

Data Scientist, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.

Data Scientist, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

Data Scientist, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.



Preferences
Master's Degree Preferred.
Type Benefited Staff Special Instructions Summary Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

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