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, Innodata, and Swayable. Find a role that fits below and apply directly.
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Location:
Position Type:
Virtual Eligible:
Job Category:
Ref #:
Description and Requirements
Translate ambiguous business questions and concerns into specific quantitative questions to be answered with available data. Resolve problems in business planning, management and optimization projects. Research and develop solution products for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and Big Data Query. Design, coordinate and execute pilots or proof of concepts to evaluate new initiatives, technologies and frameworks. Collaborate with cross-functional teams to deploy data science solution and utilize the insights and recommendations generated by analytical models. Drive volume forecasts into the planning exercise for investment decisions with finance and the leadership team. Create optimal short-term plans for businesses by managing trade-offs between Students Experience/Service Levels, Employee Experience, and Cost Effectiveness. Propose and design effective data visualizations for reports, presentations and analytical products to highlight key insights, relationships among features and research findings. Communicate project results to ensure reports are created using credible qualitative and quantitative methodologies. Advise management and project stakeholders on recommended courses of action based on final model output. Evaluate effectiveness of new data sources and practicality of analytics platform. Stay abreast of current trends, analysis and research in the industry. Position may telecommute from anywhere in the U.S. 5 days per week. Annual salary: $102,000.
Minimum Requirements:
Master's degree in Computer Science, Business Analytics, Statistics, Industrial Engineering or a related
field plus 6 months of data science experience in a higher education environment with: (1) SQL programming producing read/ write/modify nested queries; (2) Data preprocessing by slicing data into
cohorts and snapshots; (3) Development and deployment of models scoring in batch or real time; (4) Batch processing of data and model results; (5) AWS Lambda, AWS Redshift, AWS SageMaker cloud environments and tools; (6) Statistical analysis tools including R, Python for machine learning, regression and tree-based models, and Ensemble methods; (7) Statistical analysis with normal distribution, confidence intervals, upper and lower control limits, and p-value; (8) Researching new tools and technologies in the market and presenting findings to leadership; (9) Applying logical reasoning skill to ad-hoc analyses; and (10) Presenting data insights to non-tech stakeholders. Experience may be gained before, during or after Master’s degree.
Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to phoenixjobs@phoenix.edu. Reference code 272 in the subject line.
#LI-DNI
As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.
- Annual Bonus Award
- Medical, dental and vision plans; Flexible Spending Accounts; Health Savings Accounts; Life and Disability insurance; and our Wellness incentive program;
- Competitive 401(k) employer match; and,
- A generous time off package, including paid vacation, sick time and company holidays.*
General Information
Location:
Position Type:
Virtual Eligible:
Job Category:
Ref #:
Description and Requirements
Translate ambiguous business questions and concerns into specific quantitative questions to be answered with available data. Resolve problems in business planning, management and optimization projects. Research and develop solution products for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and Big Data Query. Design, coordinate and execute pilots or proof of concepts to evaluate new initiatives, technologies and frameworks. Collaborate with cross-functional teams to deploy data science solution and utilize the insights and recommendations generated by analytical models. Drive volume forecasts into the planning exercise for investment decisions with finance and the leadership team. Create optimal short-term plans for businesses by managing trade-offs between Students Experience/Service Levels, Employee Experience, and Cost Effectiveness. Propose and design effective data visualizations for reports, presentations and analytical products to highlight key insights, relationships among features and research findings. Communicate project results to ensure reports are created using credible qualitative and quantitative methodologies. Advise management and project stakeholders on recommended courses of action based on final model output. Evaluate effectiveness of new data sources and practicality of analytics platform. Stay abreast of current trends, analysis and research in the industry. Position may telecommute from anywhere in the U.S. 5 days per week. Annual salary: $102,000.
Minimum Requirements:
Master's degree in Computer Science, Business Analytics, Statistics, Industrial Engineering or a related
field plus 6 months of data science experience in a higher education environment with: (1) SQL programming producing read/ write/modify nested queries; (2) Data preprocessing by slicing data into
cohorts and snapshots; (3) Development and deployment of models scoring in batch or real time; (4) Batch processing of data and model results; (5) AWS Lambda, AWS Redshift, AWS SageMaker cloud environments and tools; (6) Statistical analysis tools including R, Python for machine learning, regression and tree-based models, and Ensemble methods; (7) Statistical analysis with normal distribution, confidence intervals, upper and lower control limits, and p-value; (8) Researching new tools and technologies in the market and presenting findings to leadership; (9) Applying logical reasoning skill to ad-hoc analyses; and (10) Presenting data insights to non-tech stakeholders. Experience may be gained before, during or after Master’s degree.
Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to phoenixjobs@phoenix.edu. Reference code 272 in the subject line.
#LI-DNI
As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.
- Annual Bonus Award
- Medical, dental and vision plans; Flexible Spending Accounts; Health Savings Accounts; Life and Disability insurance; and our Wellness incentive program;
- Competitive 401(k) employer match; and,
- A generous time off package, including paid vacation, sick time and company holidays.*
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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, Innodata, and Swayable and others right now, based on current remote listings on Migrate Mate as of September 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.
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