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Online Data Science Jobs in Riverside, CA (NOW HIRING)

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

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

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

We constantly strive for innovation, while transforming and improving the online shopping ... Typically requires ten (10) years of progressive experience in data science, analytics, or ...

We constantly strive for innovation, while transforming and improving the online shopping ... Typically requires ten (10) years of progressive experience in data science, analytics, or ...

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Online Data Science information

See Riverside, CA salary details

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How much do online data science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for online data science in Riverside, CA is $43.10, according to ZipRecruiter salary data. Most workers in this role earn between $17.95 and $63.56 per hour, depending on experience, location, and employer.

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

What are the key skills and qualifications needed to thrive as an online data scientist?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.

Can I become an online data scientist?

Yes, you can become an online data scientist by developing skills in programming, statistics, and machine learning, often through online courses and certifications. Many roles require proficiency in tools like Python, R, and SQL, and a strong understanding of data analysis and visualization. Remote data science positions are available across various industries and typically require a relevant degree or experience.

Can I work remotely as an online data scientist?

Online data scientists can often work remotely, as the role primarily involves analyzing data, programming, and using tools like Python or R, which can be done from any location with internet access. Many companies offer remote positions for data science roles, especially for experienced professionals with strong communication skills and proficiency in cloud-based platforms. However, some roles may require on-site collaboration or access to specific hardware or data security protocols.

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

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

Infographic showing various Online Data Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $89,638 per year, or $43.1 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.