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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 ...

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 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 ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

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 ...

Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

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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 Jul 8, 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.

More about Entry Level Tesla Data Scientist jobs
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:
Infographic showing various Entry Level Tesla Data Scientist job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, Prenatal

Data Scientist, Prenatal

BillionToOne

Menlo Park, CA

Other

Medical, Retirement, PTO

Re-posted 25 days ago


Job description

We are looking for a Data Scientist to join our Prenatal data team. At BillionToOne, our data scientists are full-stack: the team contributes across the entire analytics value chain. In this role, you will partner with more senior teammates to wear a data engineering hat to land data into our central warehouse, an analytics engineering hat to model, document, and test it, and a data science hat to analyze it, build dashboards, and deliver insights that drive decisions across the company.

This is a high-impact role with strong opportunity for growth. You will work alongside senior team members to support stakeholders across the business - commercial teams, lab operations, clinical and quality teams, bioinformatics, and executive leadership - building those relationships over time. AI is woven through how we work: you will use it daily to accelerate your own analyses and engineering, help build HIPAA-compliant AI-powered analysis workflows for the team, and help colleagues across the organization adopt AI to do their best work.

Responsibilities:

  • Contribute across the full analytics stack for Prenatal - with guidance and support from senior team members - including ingesting data from disparate sources into our central data warehouse, building clean and well-tested data models, and delivering analyses, dashboards, and tooling that stakeholders can use directly.
  • Partner with stakeholders across the business to answer high-stakes questions with data - for example, helping the lab improve turnaround time, helping sales identify at-risk accounts and new business opportunities, supporting clinical affairs with data on samples and outcomes, supporting business metrics around new product launches, and informing executive decisions on growth and strategy.
  • Build and maintain the central analytical data warehouse that aggregates data from across the organization, while partnering with teams who own their own operational systems (e.g., Clarity, bioinformatics pipelines).
  • Use AI tools to accelerate your own work, build HIPAA-compliant AI-powered analysis workflows, and help colleagues across the company adopt AI to improve their productivity.
  • Develop and maintain Tableau dashboards and self-serve analytics that turn data into action for clinical, commercial, and operational teams.

Qualifications:

  • Master's or PhD with 2 year of work experience, OR Bachelor's degree with 4 years of work experience, in data science, analytics engineering, or a related data role. More experience is welcome.
  • Strong proficiency in SQL and Python (or R) for data manipulation and analysis.
  • Comfort working with messy, disparate data sources and the judgment to know when to clean, when to re-model, and when to push upstream.
  • Experience working with clinical, healthcare, or other regulated data.
  • Hands-on experience using AI tools to enhance your work, and an interest in helping others do the same.
  • Excellent communication skills and the ability to partner directly with non-technical stakeholders to scope problems and deliver useful answers.
  • A strong sense of ownership: you are comfortable working directly with stakeholders and treat data quality and stakeholder outcomes as part of your job.

Nice-To-Haves:

  • Familiarity with any of the tools we use is a plus: dbt, Airflow, Tableau, Stitch, Hightouch, Cursor, Claude, ChatGPT, AWS (S3, Batch, RDS, MWAA), and Clarity.
  • Familiarity with bioinformatics, molecular diagnostics, or the broader healthcare landscape - including the lab sales cycle, prior authorization, and reimbursement - is also a plus, as is a background in the biosciences.

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
  • Open, transparent culture that includes weekly Town Hall meetings
  • The ability to indirectly or directly change the lives of hundreds of thousands patients
  • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
  • Extremely generous Family Bonding Leave for eligible employees (16 weeks, paid at 100%)
  • Supplemental fertility benefits coverage
  • Retirement savings program including a 4% Company match
  • Increase paid time off with increased tenure
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • Free daily on-site lunches provided from top eateries
  • A variety of perks on campus (state of the art gym, restaurant)
  • Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation package of $226,855 per year, including a base pay range of $139,340 - $160,777 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.