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

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office. Our ... data management * Bachelor's degree in Computer Science, Engineering, or a related field, or ...

The application window is expected to close on: 10/01/2026 This is a remote role and work may be ... data into sharper decisions. Minimum Qualifications * Bachelor's degree in computer science ...

The application window is expected to close on: 10/01/2026 This is a remote role and work may be ... data into sharper decisions. Minimum Qualifications * Bachelor's degree in computer science ...

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 ...

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 Sep 13, 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.

SDET, Remote opportunity

Irvine, CA • On-site, Remote

Noor Staffing Group
Recruiting and Staffing Services • 201 - 500 employees

$130K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Key responsibilities

  • Design and own test automation strategy across API, integration, and end-to-end layers covering LOS and broker portal workflows

  • Build test frameworks, fixtures, synthetic loan files, and environment seeding tools used by the development team

  • Verify compliance-critical behavior such as disclosure timing, fee tolerances, audit trails, and data integrity across systems


Job description

Senior SDET, Automation Quality and Test Engineering

Position: Senior SDET

Location: Hybrid if local to Irvine, CA. 100% remote if you live more than 30 miles from the office.

Our client is one of the leading mortgage technology companies in the country, investing heavily in AI-driven automation across the full loan lifecycle. They are looking for a Senior SDET to build and own the automated test infrastructure that keeps a fast-moving, regulated platform safe as it scales.

Why Is This a Great Opportunity?

  • Build test automation from the ground up for a high-impact fintech platform
  • Work on genuinely complex systems including LOS integrations, AI-driven underwriting, broker portal workflows, and compliance-critical automation
  • AI-first team where tooling and process are built around accelerating delivery
  • Competitive salary, medical, dental, vision, 401(k), and PTO
  • Hybrid flexibility if local to Irvine, or fully remote

    Responsibilities

  • Design and own test automation strategy across API, integration, and end-to-end layers covering LOS and broker portal workflows
  • Build test frameworks, fixtures, synthetic loan files, and environment seeding tools the development team actually uses
  • Develop evaluation harnesses for AI and LLM features including golden datasets, eval suites, and regression detection for prompt and model changes
  • Convert manual UAT scripts from Ops and Sales into automated coverage
  • Define quality gates for pilot expansion and instrument production monitoring to catch issues early
  • Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data integrity across systems
  • Integrate test suites into CI/CD pipelines and maintain ongoing regression coverage

    AI-Assisted Development, Required

  • Daily use of AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalent) as a core part of your workflow, not occasional autocomplete
  • Ability to decompose work into well-structured prompts and agentic tasks, then critically review, test, and harden AI-generated code before it ships
  • Experience using AI agents to generate, maintain, and triage tests at scale
  • Candidates who cannot provide a concrete recent example of AI-assisted work do not pass the phone screen

    Required Qualifications

  • 6+ years in software engineering with at least 4 focused on test automation and SDET work
  • Strong coding skills in TypeScript/JavaScript, Python, Java, or C#, with hands-on experience building API and E2E test frameworks (Playwright, Cypress, pytest, Postman) and integrating into CI/CD pipelines
  • Experience testing complex multi-system integrations including mocking, contract testing, and test data management
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience

    Preferred Qualifications

  • Mortgage or regulated fintech experience: LOS platforms, broker portals, AUS, or disclosure systems
  • Experience evaluating LLM or ML systems in production including eval frameworks and non-deterministic output testing

Salary: $130,000 to $145,000 annually, depending on experience

Work Authorization: Must verify identity and eligibility to work in the U.S. without visa sponsorship.

To apply: Send your resume to danieln@noorstaffing.com

Benefits: medical, dental, vision, retirement, PTO.

Noor Group is an Equal Opportunity Employer.

Physical Requirements: standing, bending, reaching, lifting up to 50 lbs occasionally, with or without accommodation.