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Junior Data Scientist Jobs in Riverside, CA (NOW HIRING)

Edwards Lifesciences

Staff Data Scientist

Irvine, CA · On-site

$126 - $178/hr

As a Staff Data Scientist, you design the modeling and evaluation approaches that others build on for a problem class, set validation strategy, and raise the modeling rigor of the teams around you ...

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Junior Data Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do junior data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior 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 is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

How do I become a junior data scientist?

To become a junior data scientist, you typically need a bachelor's degree in a related field such as computer science, statistics, or mathematics. Gaining skills in programming languages like Python or R, understanding data analysis, and familiarity with tools like SQL and machine learning frameworks are essential. Internships or entry-level projects can also help build practical experience.

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

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

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

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

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

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

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

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

Junior Data Scientist jobs near you
Infographic showing various Junior Data Scientist job openings in Riverside, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, and 21% 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

Posted 29 days ago

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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