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Data Science Jobs in Riverside, CA (NOW HIRING)

In addition to remote sensing-focused initiatives, the role will also contribute specialized data science expertise to broader vegetation management projects. By solving highly technical challenges ...

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Stay up-to-date with the latest developments in data science, machine learning, and related fields * Provide technical guidance and mentorship to junior data scientists and analysts Basic ...

Pricing Data Scientist

Irvine, CA · On-site

$175 - $198/hr

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

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Stay up-to-date with the latest developments in data science, machine learning, and related fields * Provide technical guidance and mentorship to junior data scientists and analysts Basic ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

$127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 with Security Clearance

Norco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Stay up-to-date with the latest developments in data science, machine learning, and related fields * Provide technical guidance and mentorship to junior data scientists and analysts Basic ...

Data Scientist - Business Analytics & ML

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Kia's Big Data Analysis team leverages vast and diverse datasets to drive business improvements and ... The role requires expertise in statistics, machine learning, and computer science to utilize high ...

Showing results 21-40

Data Science information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do data science jobs pay per year?

As of Aug 15, 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.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 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:

Infographic showing various Data Science job openings in Riverside, CA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Senior Data Scientist Advisor

Edisonrefertalent

Pomona, CA • On-site

$120 - $160/hr

Other

Posted 9 days ago


Job description

Join the Clean Energy Revolution

Become a Senior Data Scientist Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for advancing AI-powered vegetation management by driving the development and refinement of AI models that interpret complex remote sensing data. In addition to remote sensing-focused initiatives, the role will also contribute specialized data science expertise to broader vegetation management projects. By solving highly technical challenges, this role directly enables a more efficient and proactive approach to managing vegetation risk and protecting critical infrastructure.

As a Senior Data Scientist Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Responsibilities
  • Partners with stakeholders to understand business problems and objectives and translate them into data science solutions, providing thought leadership and creativity in solving unconventional problems.
  • Leads and provides direction to other analytic teams across the organization, spearheads development of highly complex predictive and prescriptive models to drive data insights.
  • Defines new data collection sources and methods and makes strategic recommendations for data practices (collection, preparation, quality).
  • Establishes standards and identifies techniques to solve data quality and integrity problems.
  • Leads development and maintenance of models, tools and methods for highly complex analytics problems.
  • Engages business OUs to solve critical issues and identify optimization opportunities, performs sophisticated analytics and translates into actionable insights.
  • Applies machine learning concepts and authors production-level code to provide innovative ideas and research to improve decision making.
  • Identifies opportunities to apply data science and predictive analytics to help solve the most critical business challenges.
  • Establishes scalable, automated processes for large-scale data analysis, modeling, validation and
  • Implementation.
  • Leverages relationships with data science individuals at other utilities and vendors and participate and present in relevant industry forums and groups to promote SCE's approach.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.
Minimum Qualifications
  • Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
  • Seven or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.
Preferred Qualifications
  • Master’s or Ph.D. degree in computer science, statistics, mathematics, engineering, or a closely related science and engineering field.
  • Five or more years hands-on experience working in data science roles, including experience with machine learning algorithms, statistical modeling, and big data platforms.
  • Hands-on experiences with languages like Python, R, and SQL, as well as knowledge of cloud computing environments (e.g., AWS, Azure, Google Cloud), and familiarity with data visualization tools like Tableau or Power BI.
  • Experience evaluating and deploying artificial intelligence solutions into business processes.
  • Experience with LiDAR data, processing and modeling.
  • Strong executive communication skills, including building concise narratives and presenting insights to senior leadership; experience communicating to both technical and non-technical audiences).
Additional Information
  • This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Position will require up to 10% local traveling and being out in the field throughout the SCE service territory.
  • This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties.
  • Relocation may apply to this position.
About Southern California Edison

The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

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