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

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... scientific expertise with cutting-edge technology to deliver high-quality data and insights that ...

Software Engineer

Claremont, CA · Remote

$100K - $125K/yr

Software Engineer Flash Biometrics | Hybrid/Remote - Claremont, CA Salary Range: $100,000-$125,000 ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

Responsible for the application of biostatistical methods to support clinical trials and data ... scientific processes and results. Project Support * Provide statistical expertise and guidance ...

... data. * Benefits vary by location and may include: * Remote working * Flexible time off * Paid ... Bachelor's degree in life/health sciences or related discipline, or equivalentrequired. * 5to ...

... scientific rigor, data integrity, and regulatory compliance (GLP, animal welfare, and safety), SOPs ... Remote work is an option. * We are passionate about our culture! Our Tarsans live our values of ...

Showing results 41-60

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 Aug 23, 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 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 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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

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:

Infographic showing various Remote Data Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $105,494 per year, or $50.7 per hour.

Mid-to-Senior-Level Civil/Environmental Engineer or Scientist (Stormwater)

GSI Environmental Inc.

Irvine, CA • On-site, Remote

$115K - $150K/yr

Full-time

Re-posted 14 days ago


Job description

About the Job 

Are you looking for an energetic work environment where you can apply your academic and technical skills, collaborate with top-notch industry professionals on exciting environmental projects, and build your career?  Then GSI is the place for you. 

Our company culture is built on excellent service, teamwork, and technical collaboration to solve challenging environmental problems. GSI’s Irvine, California, office has immediate openings for Mid- to Senior-Level Engineers and Scientists. Come join our team! 

Responsibilities: 

GSI is seeking mid to senior-level engineers and scientists to expand our stormwater practice.  We are looking to hire staff that can contribute to some or all of the following efforts:

  • Support and eventually lead stormwater and related NPDES projects, including industrial, municipal, and construction-related projects.
  • Conduct hydrologic and hydraulic evaluations of stormwater runoff.  
  • Design stormwater treatment facilities, pump stations, and conveyance infrastructure and infiltration systems.  
  • Prepare documents such as proposals, plans (e.g., Stormwater Pollution Prevention Plans [SWPPPs]), and technical reports (e.g., Exceedance Response Action [ERA] Reports and Water Quality Based Corrective Action [WQBCA] Reports). 
  • Conduct engineering feasibility analyses.
  • Assist in the collection, evaluation and management of stormwater quality data.
  • Conduct industrial and construction site assessments.
  • Develop and/or recommend stormwater best management practices (BMPs) to reduce pollutants in stormwater discharges. 
  • Participate in research and development of innovative stormwater quality treatment technologies. 
  • Provide permitting and compliance support to our clients. 
  • Collaborate with technical experts, project managers, colleagues, and subcontractors. 

Qualifications/Requirements: 

  • Bachelor’s degree or higher in engineering or environmental science. 
  • At least 4 years of relevant experience.
  • Understanding or interest in stormwater/wastewater regulations and related permit requirements. 
  • Ability to work independently and as part of a team. 
  • Excellent organizational, verbal, and written communication skills. 
  • Valid driver’s license and clear driving record. 
  • Ability to travel domestically. 
  • Flexibility to work outside normal office work hours, if needed (e.g., for occasional site visits). 

Job Perks: 

  • Competitive salary and benefits. 
  • Quarterly and year-end bonuses. 
  • Flexible work environment with potential for part-time and/or remote work. 
  • Excellent career growth opportunities, including on-the-job training, mentorship, professional development, and, depending on interest and capabilities, the opportunity to work directly with a variety of clients and regulators. 
  • Participation in conferences, technical presentations and papers, and research and design.
  • Fun, collaborative, teamwork-driven atmosphere. 

Exact compensation may vary based on skills, years of experience, and location.

Salary range for those with mid-level experience: $85,000 - $110,000 

Salary range for those with senior-level experience: $115,000 - $150,000