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 ConTra, HARVEY, and Tempus. Find a role that fits below and apply directly.
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Showing 5 of 8+ Remote Research Data Scientist jobs
Important information before applying:
Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
Major Responsibilities:
Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Sources may include Lightcast data, government and third-party data, and client datasets.
Build and maintain data pipelines and create indices or composite measures for custom analyses.
Apply statistical and quantitative methods, such as benchmarking, correlation, and trend analysis, to answer client questions.
Adapt proven methods into repeatable workflows, trial new research approaches, and apply core labor market economics concepts.
Develop client-ready materials in Excel, PowerPoint, and Word, as well as visualizations and dashboards in Tableau or similar tools.
Present research to clients and internal teams, and communicate findings in ways that reflect what the data can support.
Use LLM tools to assist with coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs for accuracy and quality.
Keep current with AI tools relevant to labor market research and share useful approaches with the team.
Education and Experience:
2–4 years of experience in quantitative research, data analysis, or data science.
Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field.
Experience working with APIs to access, integrate, and analyze data.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Important information before applying:
Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
Major Responsibilities:
Query, clean, and analyze large datasets using SQL, Python, and Snowflake. Sources may include Lightcast data, government and third-party data, and client datasets.
Build and maintain data pipelines and create indices or composite measures for custom analyses.
Apply statistical and quantitative methods, such as benchmarking, correlation, and trend analysis, to answer client questions.
Adapt proven methods into repeatable workflows, trial new research approaches, and apply core labor market economics concepts.
Develop client-ready materials in Excel, PowerPoint, and Word, as well as visualizations and dashboards in Tableau or similar tools.
Present research to clients and internal teams, and communicate findings in ways that reflect what the data can support.
Use LLM tools to assist with coding, debugging, documentation, data tasks, dashboards, and draft deliverables; review and refine outputs for accuracy and quality.
Keep current with AI tools relevant to labor market research and share useful approaches with the team.
Education and Experience:
2–4 years of experience in quantitative research, data analysis, or data science.
Bachelor’s or master’s degree in Economics, Public Policy, Data Science, Statistics, or another quantitatively focused field.
Experience working with APIs to access, integrate, and analyze data.
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Find JobsRemote Research Data Scientist Job Market
Who's Hiring
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.
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 ConTra, HARVEY, and Tempus and others right now, based on current remote listings on Migrate Mate as of November 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.
See All 8 Remote Research Data Scientist Jobs
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