Remote Data Scientist Jobs
Remote Data Scientist jobs are open across the U.S. at remote-first firms, distributed tech teams, and data-driven organizations in sectors like software, finance, healthcare, and e-commerce. Employers hiring remotely right now include Tiger Analytics, BlueFlag LLP, and Tempus. Find a role that fits below and apply directly.
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Showing 5 of 240+ Remote 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.
See All 240+ Remote Data Scientist Jobs
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Find Remote Data Scientist JobsRemote Data Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software20
- Staffing & Recruiting4
- Retail3
- Insurance3
- Consulting & Professional Services3
What Employers Look For
The qualifications that appear most often in remote data scientist jobs.
- Proficiency in Python and SQL for data manipulation and analysis
- Experience building and deploying machine learning models in production
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Ability to communicate findings and model results clearly to non-technical stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or Looker
Tips for Your Remote Data Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data scientist openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through non-remote postings mixed in.
Prove async collaboration in your portfolio
Remote data science teams rely on written documentation over verbal walkthroughs. Publish notebooks with clear narrative, version your work in Git, and include a README that explains your decisions, showing hiring managers you communicate findings without a meeting.
Signal remote readiness in your application
Explicitly name the async tools you've used, like Jupyter, dbt, Airflow, or Slack-based data review workflows. Remote employers screen for candidates who already work this way, not ones who need to learn distributed practices on the job.
Prepare to run a live analysis in interviews
Remote data scientist interviews often include a take-home case or live coding session over video. Practice walking through an exploratory analysis out loud while sharing your screen, since your ability to think and communicate simultaneously matters as much as the answer.
Remote Data Scientist Jobs: Frequently Asked Questions
How do I get a remote data scientist job?
Target companies built around distributed teams, since those employers already have the infrastructure and culture for remote data work. Remote hiring screens heavily for self-direction, clear async written communication, and the ability to document your analysis so teammates can follow it without a meeting. A portfolio of end-to-end projects shared publicly, along with fluency in Python or R, SQL, and cloud-based data tools, gives you a concrete edge over candidates who rely on in-office collaboration to fill gaps.
Which companies hire remote data scientists?
Companies hiring remote data scientists right now include Tiger Analytics, BlueFlag LLP, and Tempus, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed fintech platforms, and healthcare analytics companies are among the most active employers for this role.
Can you get a remote data scientist job with no experience?
Yes, but remote entry-level data scientist roles are harder to land because you're expected to work independently from day one without on-site mentorship. Companies that hire entry-level remote data scientists tend to be mid-size SaaS or analytics firms with structured onboarding. A strong GitHub portfolio, a completed end-to-end project with documented methodology, and demonstrated comfort with async collaboration tools can substitute for formal work history.
Do you need a degree for remote data scientist jobs?
Not always. Many remote employers care more about what you can demonstrate than the credential behind it. A portfolio showing real modeling work, Kaggle competition results, or open-source contributions carries significant weight. That said, roles at larger or more regulated organizations, particularly in healthcare or finance, often list a bachelor's or master's as a baseline requirement for compliance or team-structure reasons.
Which industries hire the most remote data scientists?
The sectors hiring the most remote data scientists are Technology & Software, Staffing & Recruiting, and Retail, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed data teams to build models, run experiments, and surface insights without requiring analysts to be co-located with the business.
See All 240+ Remote Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Scientist Jobs