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Entry Level Tesla Data Scientist Jobs (NOW HIRING)

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

GainAm

Entry Level Data Scientist job

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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All JobsTesla Data Scientist JobsEntry Level Tesla Data Scientist Jobs

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 13, 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:
What job categories do people searching Entry Level Tesla Data Scientist jobs look for? The top searched job categories for Entry Level Tesla Data Scientist jobs are:
Entry Level Tesla Data Scientist jobs near you
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 - Multiple Levels (TS/SCI with Poly Required)

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha

Annapolis Junction, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

A little about us:
 Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.     
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:

The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

This role is hands-on across all areas as a data scientist; from understanding customer requirements and collecting data, to developing visualizations and advanced analytics to make data-driven recommendations and decisions. You will work directly with intel analysts to develop prototypes and novel solutions that satisfy complex operational needs. 
  
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.

All of our data scientists need the following skills:     

  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:     

  • Large dataset experience
  • Strong familiarity with data science applications such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic).
  • Training in the design and implementation of static and dynamic visualizations in R, Python, Tableau, or similar visualization software.

These are important skills to have, but not necessarily mandatory:     

  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience or exposure to Natural Language Processing (NLP).
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the  projected pay range for these positions are:
    • Entry-level:  $95,000 - $135,000
    • Mid-level: $110,000 - $155,000 
    • Senior-level:  $135,000 - $235,000
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
 
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!