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Entry Level Product Data Scientist Jobs in Riverside, CA

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... product requirements. What Sets You Apart: * Industry experience or domain knowledge in ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... product requirements. What Sets You Apart: * Industry experience or domain knowledge in ...

BRIDGEMED SOLUTIONS INC

Entry Level Biologist

Irvine, CA · On-site

$20 - $23/hr

Vision insurance We are seeking an entry-level Biologist to support our Product Sales and Order ... This role is ideal for a recent graduate with a biology or life-science background who is ...

Fujifilm

Scientist II - Bioprocessing

Irvine, CA · On-site

$84K - $93K/yr

... product support, and process improvements. Tasks include experimental design, data analysis, cell culture experiments, and maintaining good laboratory practices. The role involves preparing reports ...

Fujifilm

Scientist II - Bioprocessing

Irvine, CA

$84K - $93K/yr

... product support, and process improvements. Tasks include experimental design, data analysis, cell culture experiments, and maintaining good laboratory practices. The role involves preparing reports ...

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All JobsProduct Data Scientist JobsEntry Level Product Data Scientist JobsEntry Level Product Data Scientist Jobs in Riverside, CA

Entry Level Product Data Scientist information

See Riverside, CA salary details

$48K

$172.2K

$254K

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

As of Sep 12, 2026, the average yearly pay for entry level product data scientist in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Product Data Scientist vs Data Analyst?

AspectEntry Level Product Data ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer internships or certificationsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with product teams, engineers, and designers to analyze product data and inform decisionsWorks across departments to interpret data, generate reports, and support business insights
Employer & Industry UsageTech companies, e-commerce, SaaS, and startups focusing on product developmentRetail, finance, healthcare, and various industries requiring data interpretation

While both roles analyze data, Entry Level Product Data Scientists focus on product-related insights and work closely with product teams, whereas Data Analysts handle broader data interpretation across various business functions. The roles often overlap in skills and tools but differ in their primary focus and collaboration scope.

What are popular job titles related to Entry Level Product Data Scientist jobs in Riverside, CA?

For Entry Level Product Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Product Data Scientist jobs in Riverside, CA look for?

The top searched job categories for Entry Level Product Data Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Entry Level Product Data Scientist jobs?

Cities near Riverside, CA with the most Entry Level Product Data Scientist job openings:

Entry Level Product Data Scientist jobs near you
Infographic showing various Entry Level Product Data Scientist job openings in Riverside, CA as of September 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Product QA & Data Engineer

Irvine, CA • On-site

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

Full-time

Re-posted 18 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.
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