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Entry Level Tesla Data Scientist Jobs (NOW HIRING)

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... entry-level employees. The ability to relate to different types of people and understand their ...

Description People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data ... entry-level employees. The ability to relate to different types of people and understand their ...

Description Position at JBS USA People Data Scientist Purpose and Scope/General Summary: We are ... entry-level employees. The ability to relate to different types of people and understand their ...

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... entry-level employees. The ability to relate to different types of people and understand their ...

This position is responsible for performing entry level analysis of program-related data, including building and maintaining databases and spreadsheets. The Data Scientist will collaborate with ...

We are seeking a People Data Scientist to join JBS at our corporate office in Greeley, Colorado. In ... entry-level employees. The ability to relate to different types of people and understand their ...

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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 Jun 10, 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 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 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 Data Scientists at Tesla 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 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.

What cities are hiring for Entry Level Tesla Data Scientist jobs? Cities with the most Entry Level Tesla Data Scientist job openings:
What are the most commonly searched types of Tesla Data Scientist jobs? The most popular types of Tesla Data Scientist jobs are:
What states have the most Entry Level Tesla Data Scientist jobs? States with the most job openings for Entry Level Tesla Data Scientist jobs include:
Entry Level Artificial Intelligence/Machine Learning/Data Science

Entry Level Artificial Intelligence/Machine Learning/Data Science

SynergisticIT

Jersey City, NJ

Other

Posted 13 days ago


Job description

Entry Level Artificial Intelligence/Machine Learning/Data Science

Greetings, My name is Anand and I'm an IT recruiter at Synergistic IT. Our records show that you are an experienced IT professional with experience in Entry Level Artificial Intelligence/Machine Learning/Data Science. This experience is relevant to one of my current openings.

Location: NY, NJ, CA, TX Type: Contract/Fulltime Experience: 0-1+ Years Required Technical and Professional Expertise:

  • Demonstrated work experience in an education-related field, training, program/project management
  • Proven track record of driving project timelines to meet program objectives

Preferred Technical and Professional Expertise:

  • Having knowledge of or experience with some IBM's specific technology offerings in areas such as Data Science, AI, as well as Open Source products such as Python.
  • Basic knowledge with Adobe Captivate, Camtasia and/or Adapt
  • Proven work experience in an education-related field in Data Science, Machine Learning and AI
  • Instructional Design knowledge
  • Masters of Science degree in Analytics, Data Science, or related field