ZipRecruiter

Log In

2

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

Cotality

Sr Professional, Software Engineer

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

... remote data sources. * Utilize Spring Framework to build and maintain backend services, ensuring ... Bachelor's degree in Computer Science, Engineering, or related field strongly preferred * 5+ years ...

Wayvia

Data Engineer III

Irvine, CA · On-site +1

$130K - $160K/yr

... Computer Science or related field or equivalent practical experience. * 5+ years of data ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

loanDepot

Director, Marketing Analytics

Irvine, CA · On-site +1

$104K - $170K/yr

Experience working in matrixed environments, across multiple teams of marketing managers, data scientists and analysts in remote or hybrid environments. Why work for #teamloanDepot : * Aggressive ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Science JobsRemote Data Science Jobs in Riverside, CA

Remote Data Science information

See Riverside, CA salary details

$23.7K

$105.5K

$201.3K

How much do remote data science jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data science in Riverside, CA is $105,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,493.00 and $146,323.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
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 Remote Data Science jobs in Riverside, CA? For Remote Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Riverside, CA look for? The top searched job categories for Remote Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Science jobs? Cities near Riverside, CA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Riverside, CA as of May 2026, with employment types broken down into 66% Full Time, 29% Part Time, and 5% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution, with an average salary of $105,494 per year, or $50.7 per hour.
Advisor, Management Data Analysis

Advisor, Management Data Analysis

Hill International

Pomona, CA • Remote

$110K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Hill International is seeking an Advisor, Management Data Analysis in Pomona, California 

Hill International, with more than 4,300+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com.

Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs.

Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group at www.gisiconsulting.com.

Hill International is an Equal Opportunity Employer/Veteran/Disabled
Note: This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required.

IER Right to Work Poster

E-Verify Participation Poster

  • A combination of education, training, and experience, generally equivalent to those typically possessed by a 4year college graduate (from accredited institution in applicable profession, business, or science/technology/engineering/math). 
  • Bachelor's degree in Computer Science, Information Systems/Technology, Data Analytics, or a related discipline, or equivalent combination of education, training, and experience.
  • 7+ years of experience designing and delivering data engineering solutions.
  • Experience using Microsoft Office, Business Intelligence tools, SAS, and SAP.
  • Expert level Excel skills, including Power Query.
  • Knowledge of utility business operations.
  • Advanced proficiency in SQL preferred.
  • Lean Six Sigma Black Belt certification preferred.
  • Must be local to Southern California.

  • Remote position; but requires frequent mandatory meetings in Pomona, CA.


    The salary range for this position is $110,000 - $130,000. The offered salary will be based on the applicants qualifications, education, experience and work location.

Depending upon your employment status, Hill's comprehensive benefits may include, Medical, Dental, Vision, Employer Paid Life and Accidental Death & Dismemberment Insurances, Business Travel Accident Insurance, Short-Term Disability, Long Term Disability, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Commuter Benefits, Legal Assistance, Identity Theft Protection, Pet Insurance, Auto & Home Insurance, Critical Illness Insurance, Accident Insurance, Hospital Indemnity Insurance, Voluntary Life & Accidental Death & Dismemberment Insurance. Paid Time Off (PTO), Holidays, 401(K) Retirement Savings Plan, Employee Referral Program, Professional Certification Incentive Program, Hill University Learning and Development, Tuition Reimbursement, EAP, Years of Service Awards Program.

  • Apply advanced expertise in modeling, forecasting, and economic analysis, applying statistical, algorithmic, and economic methods to solve complex business problems and quantify performance.
  • Apply advanced experience to develop dashboards and visualization solutions using Power BI, Excel, SAS, and other BI tools.
  • Develop reports, metrics, insights, and executive ready narratives that translate analytical results into operational and strategic decision support.
  • Design, develop, and maintain end to end data engineering and data management solutions, including ETL, data modeling, data warehouses, and preparation of large, complex datasets for analytical and predictive use.
  • Understands the data to help identify patterns, trends, and opportunities to drive continuous improvement through process, upgrades, reporting features, and/or formats.
  • Conduct in-depth analysis of project data.
  • Create and maintain clear technical documentation and provide data and analytical support to executives, managers, and cross functional operational teams.
     

Apply