Remote Research Data Scientist Jobs
Remote Research Data Scientist jobs are open across the U.S. in technology, healthcare, finance, and academic research, at remote-first companies and distributed teams ranging from early-career positions to principal researcher roles. Employers hiring remotely right now include CVS Health, Alvarez & Marsal, and Netflix. Find a role that fits below and apply directly.
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ABOUT THIS FEATURED OPPORTUNITY
The Quantitative UX Researcher will possess expertise in the development, management, and analysis of large-scale tracking surveys. A Bachelor's degree with a minimum of seven years of relevant experience in user experience research, a Master's degree with a minimum of five years of relevant experience, or a PhD with a minimum of two years of relevant experience is required.
THE OPPORTUNITY FOR YOU
Design, manage, analyze, and produce reports for large-scale, primarily tracking surveys. Effectively manage and prioritize research within ambiguous and rapidly changing environments. Generate effective insights to inform both ongoing and prospective research initiatives.
KEY SUCCESS FACTORS
- Bachelor's degree with 7+ years of relevant experience in user experience research, Master's degree with 5+ years of relevant experience, or a PhD with 2+ years of relevant experience.
- Demonstrated experience coding with R, particularly the Tidyverse package.
- Experience in survey design and item development.
- Experience applying statistical analysis methods, including basic descriptive analysis, regressions, ANOVA, and t-tests.
- Demonstrated interest in and experience executing hands-on, primary research.
- Proficiency with Google suites.
- Experience with Python coding is considered advantageous.
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.
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Find JobsRemote Research Data Scientist Job Market
Who's Hiring
- CVS Health30

- Alvarez & Marsal26

- Netflix9

- Geisinger6

- The Clear Fund6

Top Industries Hiring
- Technology & Software57
- Healthcare & Medical Services45
- Consulting & Professional Services37
- Investment & Asset Management29
- Accounting & Auditing26
What Employers Look For
The qualifications that appear most often in remote research data scientist jobs.
- PhD or Master's degree in statistics, computer science, machine learning, or a related quantitative field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Strong background in statistical modeling, experimental design, and causal inference
- Experience publishing or presenting research findings internally or at academic conferences
- Familiarity with large-scale data processing tools such as Spark or distributed computing environments
- Ability to translate ambiguous research questions into structured, testable hypotheses
Tips for Your Remote Research Data Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote research data scientist openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through listings mixed with on-site work.
Build a public portfolio of research work
Remote employers can't observe how you work, so they rely on what you've shipped. Publish documented notebooks, reproducible analyses, or research write-ups that show your methodology, not just your conclusions, so hiring managers can evaluate your process before the first screen.
Prove async communication in your application
Remote research teams move through written channels, not hallway conversations. Write your cover letter and any take-home materials with the same clarity you'd bring to an internal research memo, because distributed teams hire researchers who can explain complex findings in writing without back-and-forth.
Highlight distributed tooling in your resume
Call out the specific tools that matter for remote research work: version-controlled experiment tracking, collaborative notebooks, cloud compute environments, and async documentation practices. Remote hiring managers scan for evidence you already work the way their team does.
Prepare to present research findings on camera
Remote research data scientist interviews often include a live presentation of past work or a take-home project. Practice walking through your research narrative on video, fielding questions from distributed panels, and sharing your screen clearly, because those mechanics matter as much as the content.
Remote Research Data Scientist Jobs: Frequently Asked Questions
How do I get a remote research data scientist job?
Target companies that run distributed research teams, including remote-first tech firms, biotech companies with no central lab mandate, and data-heavy SaaS businesses. Remote employers screen heavily for self-direction, clear async written communication, and the ability to frame research questions independently. Candidates who show reproducible work, documented methodology, and experience presenting findings to non-technical stakeholders in writing consistently stand out.
Which companies hire remote research data scientists?
Remote research data scientist roles are posted by CVS Health, Alvarez & Marsal, and Netflix and others right now, based on current remote listings on Migrate Mate as of June 2026. Hiring tends to concentrate at remote-first technology companies, distributed healthcare and life sciences organizations, and fintech firms where research work happens entirely in cloud-based environments.
Can you get a remote research data scientist job with no experience?
Yes, but remote entry-level research data scientist roles are harder to land because employers expect you to work independently from day one without in-person mentorship. Smaller remote-first startups and research-oriented nonprofits are more open to candidates without a full professional history. A portfolio of self-directed projects, public notebooks, or contributed research code can substitute effectively for direct work experience.
Do you need a degree for remote research data scientist jobs?
Usually, but the field is moving. Most remote research data scientist postings still prefer a graduate degree in statistics, computer science, or a related quantitative field, particularly for roles involving original research design. Remote employers weigh demonstrated research output, published or public work, and measurable modeling results heavily alongside formal credentials, so a strong portfolio can offset a non-traditional educational background.
Which industries hire the most remote research data scientists?
Remote research data scientist roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. These sectors hire research data scientists remotely because their core work, modeling, experimentation, and analysis, runs entirely on cloud infrastructure and collaborative async tooling with no site-specific dependency.
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