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Data Science Jobs in Riverside, CA (NOW HIRING)

Corvel

Data Scientist II

Irvine, CA · On-site +1

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

iHerb, LLC

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

iHerb.com

Pricing Data Scientist

Irvine, CA · On-site +1

Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Riverside, CA

Data Science information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science 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 is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Riverside, CA?

The most popular types of Data Science jobs in Riverside, CA are:

What are popular job titles related to Data Science jobs in Riverside, CA?

For Data Science jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Riverside, CA look for?

The top searched job categories for Data Science jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Science jobs?

Cities near Riverside, CA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Data Scientist II (North America Quality Center - NAQC)

Hyundai Motor Company

Irvine, CA • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Key responsibilities

  • Partner with IT, database administrators, and business stakeholders to validate data sources, business logic, and reporting methodologies across enterprise systems

  • Develop and maintain forecasting models, predictive models, and perform advanced analytics to identify trends, root causes, and improvement opportunities

  • Design, build, and maintain dashboards, reporting tools, and ETL pipelines to support data analysis and business decision-making

Job description

Data Scientist II

Hyundai's North American Quality Center (NAQC) is looking for a Data Scientist for the Strategy and Analysis Team.

The Team:

NAQC is the quality arm for Hyundai Motor Group (HMG)'s North American vehicle models. NAQC seeks to further Hyundai's goal of becoming the leading automotive manufacturer in North America by delivering uncompromising quality and exceeding consumer expectations.

In the near term, this role will focus on strengthening the organization's data foundation by partnering with IT and business stakeholders to validate data sources, improve data quality, establish trusted reporting structures, and support scalable analytics processes. Success in this phase will enable the development of advanced analytics, predictive modeling, forecasting, and experimentation capabilities across the organization.

What You Will Do
  • Understand and follow the department's business model, strategic direction, purpose, and mission

Data Foundations & Data Quality

  • Partner with IT, database administrators, and business stakeholders to validate data sources, business logic, and reporting methodologies across enterprise systems
  • Investigate and resolve data quality issues by identifying inconsistencies, gaps, and root causes within critical quality and warranty datasets

Analytics & Data Science

  • Develop and maintain forecasting models to support performance tracking, planning, and proactive quality risk identification across IQS, warranty, durability, and other key quality indicators
  • Build and deploy predictive models, including future failure rate modeling and early failure detection
  • Design and implement Priority Rating Scores to support data-driven prioritization and decision-making
  • Perform advanced analytics to identify trends, root causes, and improvement opportunities
  • Conduct A/B testing and experimental design to evaluate initiatives and quantify business impact
  • Perform "what-if" scenario analysis to support strategic and operational decisions

Data Engineering & Reporting

  • Integrate and analyze data from multiple structured and unstructured data sources
  • Develop and maintain ETL pipelines and data workflows to ensure reliable and scalable data processing
  • Design, build, and maintain dashboards and reporting tools (like Power BI) to support business users
  • Utilize tools like Python and Alteryx for data analysis, modeling, and automation
  • Complete ad hoc analytical requests and proactively identify new opportunities for impact

Collaboration & Leadership

  • Communicate analytical results, insights, and recommendations clearly to stakeholders and leadership
  • Collaborate with cross-functional teams and global affiliates to deliver data-driven solutions
  • Contribute to the growth of the organization's analytics capabilities by sharing knowledge, promoting best practices, and supporting the development of peers and business stakeholders
  • Work with a high level of autonomy and ownership to drive initiatives from concept to execution

Physical Demands, Work Environment, Travel Expectations:

  • Normal office duties
  • Occasional domestic and international travel
What You Will Bring to the Role
  • Bachelor's or Master's degree in data science, statistics, engineering, computer science, or related quantitative field
  • 4+ years of experience in data science or advanced analytics with demonstrated ownership of end-to-end analytics projects
  • Experience with predictive modeling, forecasting, and experimentation
  • Strong proficiency in Python and SQL
  • Experience with predictive modeling, statistical analysis, and A/B testing
  • Experience handling large, complex datasets (structured and unstructured)
  • Knowledge of ETL processes and data pipeline development
  • Experience validating, reconciling, and assessing data quality across multiple data sources
  • Proficiency in data visualization tools (Power BI, Tableau)
  • Advanced proficiency in Excel and MS Office tools
  • Strong analytical mindset and problem-solving capabilities
  • Ability to translate business problems into scalable data solutions
  • Strong written, oral, and presentation skills
  • Python, Alteryx, data science, or analytics certifications preferred (not required)
What Hyundai Can Offer You
  • Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
  • 100% Employer-paid Disability and Life Insurance
  • Generous Paid Time Off, Including Vacation, Sick, and Abundant Holidays
  • Range of Position: $90,000 ~ $110,000/Year
  • A Global Environment that Fosters Diversity
  • Retirement Savings and Planning Benefits
  • Access to Health Savings Accounts and Flexible Spending Accounts 
  • Flexible Work Hours
  • Fully On-Site Position
Other Details
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRAA Federal contractor.

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