Data Scientist Salary in Riverside 2025
Quick Answer
Data Scientist Salary in Riverside: Overview
Data scientists in Riverside earn a competitive salary that reflects both the regional tech market and the cost of living in Southern California. The $119,020 annual mean (2024) positions the role as a well-compensated technical career in the region.
According to the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), data scientists are classified under SOC code 15-2051. This occupation encompasses professionals who design and develop databases and data collection systems, analyze data to identify trends and patterns, and build predictive models to support business decision-making.
The Riverside-San Bernardino-Ontario MSA includes several nearby employment centers: San Bernardino, Ontario, Rancho Cucamonga, and Corona. This broader metro area creates multiple opportunities for data scientists across industries including e-commerce, logistics, healthcare, and financial services.
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Learn More →Cost of Living Context
Riverside’s cost of living is a critical factor when evaluating the $119,020 annual salary. Southern California’s housing market, transportation costs, and general expenses differ significantly from national averages.
Understanding how your salary translates to actual purchasing power requires comparing it against local expenses:
- Housing affordability: Riverside offers relatively more affordable housing options compared to coastal Southern California cities like Los Angeles or San Diego, but prices remain above the national median
- Transportation: The region’s sprawl means many professionals commute significant distances, impacting overall cost-of-living calculations
- Taxes: California’s state income tax (ranging from 1% to 13.3% depending on income) substantially affects take-home pay for data scientists earning six figures
A data scientist earning $119,020 in Riverside should budget approximately $9,918 monthly gross income. After federal and state taxes, FICA, and other deductions, typical take-home pay ranges from $7,000–$7,500 monthly, depending on filing status and deductions.
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Learn More →Job Outlook for Data Scientists
The demand for data scientists continues to grow as organizations across all sectors prioritize data-driven decision-making. The role requires strong technical skills in programming (Python, R, SQL), statistical analysis, machine learning, and data visualization.
Typical qualifications for data scientist positions:
- Education: Bachelor’s degree in computer science, mathematics, statistics, engineering, or related field (many positions prefer or require advanced degrees)
- Experience: Entry-level roles typically require 0–2 years; mid-level roles 2–5 years; senior roles 5+ years
- Technical skills: Proficiency in Python, R, SQL, machine learning frameworks (TensorFlow, scikit-learn), and cloud platforms (AWS, Google Cloud, Azure)
The Southern California region, particularly the Inland Empire (Riverside-San Bernardino area), has emerged as a major logistics and supply chain hub. This growth drives demand for data scientists who can optimize operations, predict demand, and improve efficiency in warehouse management, transportation, and e-commerce fulfillment.
Nearby Employment Centers
The Riverside metro area benefits from proximity to several major employment hubs:
- Ontario: Home to Ontario International Airport and a growing tech corridor
- Rancho Cucamonga: Major corporate headquarters and business parks
- San Bernardino: Regional employment center with diverse industries
- Corona: Growing suburban employment base
Data scientists in Riverside may find opportunities across this broader region, with potential for higher salaries in more competitive tech markets like Los Angeles or San Diego, though cost of living would also increase significantly.
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Frequently Asked Questions
What is the starting salary for a data scientist in Riverside?
Entry-level data scientist positions in Riverside typically start between $85,000–$100,000 annually, depending on education level and specific skills. Candidates with advanced degrees (Master’s or PhD) or relevant internship experience often command higher starting offers. The $119,020 average reflects experienced professionals with several years in the field.
How does the data scientist salary in Riverside compare to California and national averages?
California has one of the highest concentrations of data science talent and consequently offers some of the highest salaries in the nation. Riverside’s $119,020 average is competitive for the region but typically lower than San Francisco, Los Angeles tech hubs, or San Diego. However, Riverside offers better cost-of-living balance than coastal cities while maintaining solid salary growth opportunities.
Is it worth relocating to Riverside for a data scientist position?
Relocation decisions depend on your career stage, salary offer, and lifestyle preferences. Riverside offers advantages including more affordable housing than coastal Southern California, access to a growing job market, and proximity to major employment centers. However, the region experiences significant traffic congestion, and some professionals prefer the established tech ecosystems of larger metros. Calculate your actual cost of living and compare after-tax income to your current location before deciding.
What industries hire data scientists in Riverside?
The Riverside-San Bernardino area has strong demand for data scientists in logistics and supply chain (due to the region’s warehouse and distribution center concentration), e-commerce, healthcare systems, financial services, and government/public sector roles. The Inland Empire’s position as a major logistics hub creates unique opportunities for supply chain optimization specialists.
How can data scientists in Riverside increase their earning potential?
Career progression typically follows these paths: gaining specialized skills in high-demand areas (machine learning, cloud platforms, supply chain analytics), earning advanced certifications or degrees, moving to senior or lead roles, or transitioning to management. Additionally, professionals may see salary increases by targeting roles in adjacent tech hubs or pursuing remote positions with companies based in higher-salary markets.
What skills are most valuable for data scientists in the Riverside job market?
Beyond foundational skills (Python, SQL, statistics), the regional market particularly values supply chain optimization expertise, cloud platform proficiency (AWS, Azure, Google Cloud), and industry-specific knowledge in logistics, e-commerce, or healthcare. Strong communication skills for translating technical findings to business stakeholders are also consistently in high demand.
Data source: Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS), 2024. SOC Code: 15-2051. Metropolitan Statistical Area: Riverside-San Bernardino-Ontario (MSA 40140).
Last updated: April 10, 2025
Disclaimer: Salary information is based on publicly available data from the Bureau of Labor Statistics and represents averages for the specified region and time period. Actual compensation varies based on employer, experience, education, specific skills, and individual negotiation. This content is informational and should not be considered financial or career advice. Always verify current salary data with multiple sources and consult with career professionals before making employment decisions.