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Entry Level Product Data Scientist Jobs in Riverside, CA

Responsibilities : • Design, build, and maintain analytics‑focused data models that support the needs of Product Analysts and Data Scientists for advanced analysis and modeling • Partner ...

Responsibilities : • Design, build, and maintain analytics‑focused data models that support the needs of Product Analysts and Data Scientists for advanced analysis and modeling • Partner ...

Product Analyst

Redlands, CA · On-site

$70K - $110K/yr

Partner closely with Product Analysts and Data Scientists to translate analytical requirements into well-structured datasets and metrics * Contribute to the maturation of analytics engineering ...

Input product data into inventory systems, ensuring accuracy in descriptions, pricing, and stock ... * Entry-level position, typically suited for individuals with minimal experience in retail or ...

Data Engineer (Hybrid)

Irvine, CA · On-site

$122K - $147K/yr

MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 2-3 years of experience * 1+ year experience within building production-grade data solutions using modern ...

New

MS or PhD in statistics, mathematics, computer science or other quantitative disciplines with 2-3 years of experience * 1+ year experience within building production-grade data solutions using modern ...

New

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 ...

Showing results 21-40

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 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:

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 Analyst

Redlands, CA • On-site

Esri
Scientific Research and Development Services • 1 - 5K employees

Full-time

Re-posted 25 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Esri is a company dedicated to creating positive global change through GIS technology. They are seeking a Product Analyst to focus on advanced analytics and data-driven insights that influence product and business decision making, while supporting the analytical data models used by Product Analysts and Data Scientists.
Responsibilities:
• Design, build, and maintain analytics‑focused data models that support the needs of Product Analysts and Data Scientists for advanced analysis and modeling
• Partner closely with Product Analysts and Data Scientists to translate analytical requirements into well‑structured datasets and metrics
• Contribute to the maturation of analytics engineering practices within Product Analytics, including scalable dataset design, metric logic, and operational support for analytical data assets
• Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth
• Create executive ready reports, and deep analyses that clearly communicate analytical insights, limitations, and recommendations to stakeholders across technical and non‑technical audiences
• Collaborate with other internal stakeholders – Business Managers, Product Managers, and other internal stakeholders to translate ambiguous business questions into structured analytical approaches
• Partner with technical leads and cross-functional data teams to support the evolution of Product Analytics data capabilities within Microsoft Fabric and related platforms
Qualifications:
Required:
• 2+ years of experience in product analytics, advanced data analysis, or business analytics roles, with a strong foundation in analytical reasoning, statistics, and data modeling
• Demonstrated experience building and supporting curated analytical datasets and data models used by analysts or data scientists for downstream analysis
• Proven ability to translate strategic and ambiguous questions into analytical frameworks and model requirements
• Experience working with large, multi‑source product usage or telemetry‑style data; ensuring reliability of analytical datasets, including data validation, QA and reconciliation
• Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset creation
• Solid knowledge of Python or similar analytical programming languages for modeling and analysis
• Familiarity with analytics enablement concepts, including semantic models, reusable metric logic, self‑service dataset support, and scheduled data workflows or pipeline operationalization
• Advanced Proficiency in Power BI (including analytical datasets and complex measures) and Microsoft Excel
• Exceptional communication, presentation, and organizational skills; ability to adapt communication style and message based on audience (peers, stakeholders, executives)
• Bachelor’s degree in business analytics, statistics, mathematics, economics, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.
Preferred:
• Prior experience supporting analytics and predictive modeling for software products
• Hands‑on experience building predictive, forecasting, or scenario‑based models
• Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements
• Prior experience working in Microsoft Fabric environment
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Esri employees say

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Benefits

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969