Data Scientist Salary in Riverside 2026

Quick Answer

Data Scientist Salary in Riverside: Full Breakdown

Based on the most recent BLS Occupational Employment and Wage Statistics data from 2024, the data scientist role in Riverside commands an average annual salary of $119,020. This figure reflects the metropolitan area encompassing Riverside, San Bernardino, Ontario, Rancho Cucamonga, and Corona.

The $119,020 annual mean translates to approximately $9,918 per month in gross income, or roughly $57.22 per hour for a standard 40-hour work week. However, actual salaries in this field typically span a wide range depending on experience, education, employer size, and specialized skill sets.

Data scientists in the Riverside metro area work across diverse industries, including technology, healthcare, finance, manufacturing, and logistics. The region’s proximity to Los Angeles and its growing tech corridor has contributed to competitive compensation packages for technical talent.

Cost of Living Context

Understanding salary in isolation provides limited insight. The $119,020 annual salary in Riverside must be evaluated against the region’s cost of living, particularly housing costs, which represent the largest expense for most professionals.

The Riverside area has experienced significant real estate activity in recent years. While specific 2026 median rent data is not available in the current dataset, historical trends show that Riverside’s housing costs remain notably lower than major California tech hubs like San Francisco or Los Angeles, yet higher than many other U.S. metros. This cost advantage is a key factor attracting data science talent to the region.

For a data scientist earning $119,020 annually, monthly take-home pay (after taxes, typically 25-30% for California residents) would be approximately $6,900-$7,400. Housing costs in the Riverside area typically consume 25-35% of gross income for renters, making the regional salary competitive for the local market.

Salary Outlook and Career Growth

Data science continues to be one of the fastest-growing technical career paths in the United States. The field benefits from sustained demand across industries for professionals who can extract actionable insights from large datasets, build predictive models, and support data-driven decision-making.

The Riverside metropolitan area, as part of Southern California’s broader economic ecosystem, offers growing opportunities for data scientists. The region hosts operations for major logistics companies, healthcare systems, financial services firms, and increasingly, technology companies seeking to establish offices outside Silicon Valley.

Career progression for data scientists typically follows this trajectory:

• Entry-level (0-2 years): Junior Data Scientist or Data Analyst
• Mid-level (2-5 years): Data Scientist or Senior Data Scientist
• Advanced (5+ years): Lead Data Scientist, Principal Data Scientist, or Data Science Manager

The $119,020 average likely reflects a mix of these experience levels, with entry-level positions starting considerably lower and senior roles commanding premium compensation.

Skills and Specializations That Impact Salary

Data scientists with expertise in high-demand areas command premium compensation:

• Machine Learning & AI: Specialization in deep learning, NLP, or computer vision typically adds 15-25% to base salary
• Cloud Platforms: AWS, Google Cloud, or Azure certification experience increases earning potential
• Big Data Technologies: Expertise with Spark, Hadoop, or Kafka is highly valued
• Industry Expertise: Domain knowledge in healthcare, finance, or manufacturing adds significant value
• Leadership Skills: Ability to manage teams or lead projects increases compensation substantially

Comparison to National Context

The $119,020 salary for data scientists in Riverside positions the role as a well-compensated technical position. Data science roles nationally command strong compensation due to the specialized skills required and high demand across industries. The Riverside figure reflects both the local market dynamics and the broader national trend of rewarding data science talent.

For professionals considering relocation to Riverside for a data science position, the combination of competitive salary, lower cost of living compared to coastal California hubs, and growing job market opportunity makes the region an increasingly attractive option.

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FAQ

What is the starting salary for a data scientist in Riverside?

Entry-level data scientist positions in Riverside typically start below the $119,020 average, generally in the $75,000-$95,000 range depending on educational background and internship experience. Recent graduates with a master’s degree in data science, statistics, or computer science may start toward the higher end, while those transitioning from adjacent fields may begin lower. Employers in the Riverside area often provide training and mentorship for early-career professionals, with salary progression of 10-15% annually as experience increases.

How does the Riverside data scientist salary compare to nearby cities?

The Riverside metropolitan area includes several adjacent cities with varying salary profiles. San Bernardino, Ontario, Rancho Cucamonga, and Corona are all part of the same MSA and share similar salary ranges for data scientists. The Riverside-San Bernardino-Ontario metro area functions as an integrated labor market, so data scientist compensation remains relatively consistent across these communities. However, professionals may see variations based on specific employer and industry; tech companies in Ontario or Rancho Cucamonga may offer slightly different packages than those in central Riverside.

Is the $119,020 salary competitive for data scientists in 2026?

Yes, the $119,020 average salary for data scientists in Riverside remains competitive within the regional and national context as of 2024 (the most recent available data). This figure reflects strong demand for data science talent and the specialized nature of the work. For professionals with advanced degrees (master’s or PhD), relevant certifications, or specialized skills in machine learning or cloud platforms, actual compensation often exceeds this average. The salary is particularly competitive when adjusted for Riverside’s cost of living compared to other major U.S. tech markets.

What factors most influence data scientist salary in Riverside?

The primary factors affecting data scientist compensation in Riverside include: (1) Years of experience—each additional year typically adds $3,000-$5,000 annually; (2) Educational background—advanced degrees (master’s, PhD) command 10-20% premiums; (3) Technical specialization—expertise in machine learning, cloud platforms, or big data tools increases salary; (4) Employer size and industry—large tech companies and financial services typically pay more than smaller firms; (5) Certifications—relevant credentials from major cloud providers or data science programs add measurable value.

Should I relocate to Riverside for a data scientist position?

Relocation to Riverside for a data scientist role merits consideration based on several factors. The $119,020 average salary is competitive, and Riverside’s cost of living—particularly housing costs—is substantially lower than San Francisco, Los Angeles, or San Diego. The region offers growing job opportunities in logistics, healthcare, and technology sectors. However, Riverside’s job market for data scientists, while growing, remains smaller than major tech hubs. Career advancement opportunities and networking may be more limited than in larger metros. Professionals should evaluate specific employer opportunities, company growth prospects, and personal career goals alongside the salary figure.

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Data source: Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), 2024. SOC Code 15-2051 (Data Scientists). MSA Code 40140 (Riverside-San Bernardino-Ontario Metropolitan Statistical Area).

Last updated: April 10, 2026

Disclaimer: This article presents salary data based on public sources including the Bureau of Labor Statistics. Actual compensation varies based on individual qualifications, employer, location within the metro area, and market conditions. This information is provided for educational and research purposes and should not be considered financial or career advice. Consult with a career advisor or recruiter for personalized guidance on salary negotiations and career decisions.