ZipRecruiter

Log In

2

Entry Level Tesla Data Scientist Jobs in Riverside, CA

FieldAI

Product QA & Data Engineer

Irvine, CA

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a ...

Intellectt INC

Chemist/ Jr Lab Technician

Pomona, CA · On-site

$22 - $29.50/hr

This entry-level opportunity is ideal for recent graduates or professionals with up to two years of ... Maintain accurate laboratory notebooks, records, and electronic data entries. * Ensure materials ...

Salas O'Brien

Entry-level Electrical Designer

Irvine, CA · On-site

$70K - $75K/yr

Entry-level Electrical Designer At Salas O'Brien we tell our clients that we're engineered for ... Our specialized experience includes design for data centers, healthcare, science and technology ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... Bachelors Degree in Computer Science or other relevant field * 2+ years of experience in QA, ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA

$30 - $45/hr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... Bachelors Degree in Computer Science or other relevant field * 2+ years of experience in QA, ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA

$30 - $45/hr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... Bachelors Degree in Computer Science or other relevant field * 2+ years of experience in QA, ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related ...

next page

Showing results 1-20

All JobsTesla Data Scientist JobsEntry Level Tesla Data Scientist JobsEntry Level Tesla Data Scientist Jobs in Riverside, CA

Entry Level Tesla Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

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

As of Jul 30, 2026, the average yearly pay for entry level tesla data scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 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 are popular job titles related to Entry Level Tesla Data Scientist jobs in Riverside, CA? For Entry Level Tesla Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Tesla Data Scientist jobs in Riverside, CA look for? The top searched job categories for Entry Level Tesla Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Tesla Data Scientist jobs? Cities near Riverside, CA with the most Entry Level Tesla Data Scientist job openings:
Entry Level Tesla Data Scientist jobs near you
Infographic showing various Entry Level Tesla Data Scientist job openings in Riverside, CA 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 $128,049 per year, or $61.6 per hour.

Product QA & Data Engineer

FieldAI

Irvine, CA

Other

Re-posted 4 days ago

Job description


Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive quality assurance and manage data delivery for our construction intelligence platform. In this dual-function role, you will be instrumental in ensuring the reliability of our software releases and the accuracy of the spatial data products delivered to our customers.

Operating as the definitive quality checkpoint, you will establish rigorous testing protocols for our application while taking ownership of the final data outputs. This role requires a blend of rigorous manual testing, the development of automated testing workflows, and the meticulous verification of complex 3D scan and BIM data.

What You Will Do:

  • Own quality assurance for all software releases, serving as the final gate to ensure robust performance and mitigate regressions prior to deployment.

  • Conduct comprehensive manual testing and engineer automated testing frameworks to consistently validate complex UI workflows and software functionality.

  • Identify, meticulously document, and triage software defects in issue-tracking systems (e.g., Jira), providing engineering teams with reproducible test cases and precise context.

  • Develop lightweight scripts and automation tools to streamline testing pipelines, optimize QA workflows, and enhance release consistency.

  • Establish and enforce rigorous standards for software reliability, performance, and user experience.

  • Own the end-to-end data quality and delivery process, ensuring all platform outputs meet strict accuracy and formatting standards before customer handoff.

  • Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and architectural model comparisons within the platform.

  • Collaborate closely with engineering and data teams to resolve data-related anomalies, debug processing errors, and continuously improve data delivery pipelines.

What You Bring:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline, with 2+ years of professional experience in software QA, test engineering, or data validation.

  • Demonstrated experience testing, troubleshooting, and validating complex software systems or data processing pipelines.

  • Hands-on proficiency with UI/UX automation and testing tools (e.g., TestComplete, Selenium, PostHog).

  • Exceptional organizational skills with a highly systematic approach to defect tracking, root-cause analysis, and technical documentation.

  • A strong sense of accountability and the professional confidence to uphold quality standards, including delaying software releases or data deliveries if criteria are unmet.

  • Excellent analytical and communication skills to effectively bridge the gap between technical teams and product requirements.

What Sets You Apart:

  • Industry experience or domain knowledge in construction technology, civil engineering, surveying, or industrial mapping.

  • Working knowledge of 3D point cloud data, spatial data formats, and Building Information Modeling (BIM).

  • Familiarity with foundational software development languages (e.g., JavaScript, HTML, CSS) to facilitate deeper technical troubleshooting and defect localization.

  • Applied scripting capabilities (e.g., Python, Bash) utilized to automate backend testing, data processing, or deployment workflows.

  • A proven track record of successfully integrating automated testing suites into CI/CD pipelines.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply