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Entry Level Tesla Data Scientist Jobs (NOW HIRING)

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering ... data streams from our custom sensing hardware. You'll play a pivotal role in advancing our ...

Associate Data Scientist 2027 - AI & Data Analytics

Chicago, IL · On-site

$60K - $61K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Your role and responsibilities As an Associate Data Scientist, you will help solve business ...

New

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

AIT - AI Data Scientist Senior Associate

New York, NY

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Showing results 41-60

Entry Level Tesla Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 17, 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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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - AI & Predictive Analytics

Western Digital

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That's where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn't theoretical work. It's real systems, at real scale, people solving some of the hardest challenges in technology today.

We're looking for people who want to build, solve, and operate at that level.

Join us and let's shape the future of data.

Job Description

As an Engineering Data Scientist, you'll work alongside software engineers, hardware engineers, and data scientists to develop predictive diagnostic technologies for enterprise hard disk drives deployed in hyperscale cloud environments.

You'll help transform more than 10 TB of manufacturing and telemetry data generated each day into intelligent systems that improve storage reliability and customer uptime.

Your work may include:

  • Building machine learning models that identify early indicators of drive degradation.
  • Developing automated diagnostic algorithms using Python.
  • Analyzing large-scale telemetry from enterprise storage systems.
  • Creating data visualization and engineering analysis tools.
  • Supporting root cause investigations using statistical analysis.
  • Improving existing diagnostic software through automation and code refactoring.
  • Collaborating with engineering teams across hardware, firmware, and software disciplines.
  • Deploying predictive analytics solutions into production environments.

Why This Role Is Different

Most entry-level data science positions focus on dashboards, reporting, or business analytics.

This role is different.

You'll use machine learning and engineering principles to solve complex technical problems that improve the reliability of storage systems supporting some of the world's largest cloud environments.

You'll write production software.

You'll automate engineering decisions.

You'll build predictive technologies that help customers avoid downtime before failures occur.

This role is part of WD's early career development program. WD's early career development program is ideal for individuals at the early stages of their professional career.  Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities of this role are typically aligned with candidates who have approximately 0-2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply.

Qualifications

Currently pursuing or recently completed a Ph.D.  Computer Science, Data Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or a related engineering discipline

Required Technical Skills

  • Python (required)
  • Machine learning
  • Data analytics
  • Statistical analysis
  • SQL or NoSQL databases
  • Analytical problem solving
  • Software development fundamentals
  • Engineering mindset

Preferred:

  • Hadoop
  • Hive
  • Ruby
  • Front-end development
  • Web applications
  • Data visualization
  • Interest in storage systems and HDD technology
Additional Information

WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal" poster. Our pay transparency policy is available here.

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate that the application deadline will be 11/6/26, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.

#LI-MT

Compensation & Benefits Details

  • An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
  • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting.  We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York.  This range may be modified in the future.
  • If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws.  You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
  • You will be eligible to be considered for bonuses under either WD's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards.

  • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan.
  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].