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Remote Data Science Jobs in West Virginia (NOW HIRING)

With deep domain expertise in regulatory sciences, clinical research solutions, quality ... Whilst ProPharma supports remote working, we also recognise the value that comes from in person ...

New

Lead Data Engineer

WV · On-site +1

$103K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Analytics, Data ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

SAP Data Migration Engineer

WV · On-site +1

$97K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position. Responsibilities: * Execute data extractions from SAP ECC using SAP Data ... Bachelor's degree in computer science, information technology, or a related discipline. * 8+ years ...

... Data Science, healthcare information technology or a related field. OR 2. Bachelor's degree in ... remote work environment. 2. Prolonged periods working at a computer workstation. WORKING ...

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping ... Remote Office (US99)

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping ... Remote Office (US99)

Remote ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only ... Work with internal team members and cross-functional partners in our Data Science group to source ...

Showing results 21-40

Remote Data Science information

See West Virginia salary details

$21.7K

$96.4K

$183.9K

How much do remote data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data science in West Virginia is $96,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,770.00 and $133,643.00 per year, depending on experience, location, and employer.

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 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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

What are the most commonly searched types of Data Science jobs in West Virginia?

The most popular types of Data Science jobs in West Virginia are:

What are popular job titles related to Remote Data Science jobs in West Virginia?

For Remote Data Science jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in West Virginia look for?

The top searched job categories for Remote Data Science jobs in West Virginia are:

What cities in West Virginia are hiring for Remote Data Science jobs?

Cities in West Virginia with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,352 per year, or $46.3 per hour.

(Remote) Research Associate - Health Affairs Institute

West Virginia University

Charleston, WV • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 5 days ago


West Virginia University rating

6.9

Company rating: 6.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

458th of 618 rated colleges and universities


Job description

Description
The Health Affairs Institute at West Virginia University is currently accepting applications for a (Remote) Research Associate position located in Charleston, WV
About the Opportunity
West Virginia University's Health Affairs Institute frequently engages in collaborative efforts with West Virginia's Department of Health Human Services (DoHS). Ideal candidates will have work experience that aligns with the mission of DOHS's Bureau for Medical Services, Bureau for Children and Families, Bureau for Behavioral Health, and Bureau for Public Health.
The Research Associate is a key participant in the emerging State-University partnership between the West Virginia University Health Sciences Center and the West Virginia Department of Human Services. Overarching responsibilities include working with the state to leverage their data and support analytic and policy needs, conducting relevant policy and evaluation research, participating in interdisciplinary research and evaluation teams, and providing oversight and support to other data analysts and personnel embedded within the Department for Human Services. The Research Associate will be an employee of the West Virginia University; however, this individual will be embedded within the Health Affairs Institute and will work full-time out of the office located in Charleston, West Virginia.
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:
• 37.5-hour work week
• 13 paid holidays (staff holiday calendar)
• 24 annual leave (vacation) days per year (employee leave)
• 18 sick days per year (for when you're ill, for when you need time to care for sick family, for your own, or your family's, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
• WVU offers a range of health insurance and other benefit
• 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ's.
• Wellness program
What You'll Do
  • Serves as a University representative and liaison to the West Virginia Department of Human Services for the planning and performance of projects, programs and activities involving health data analytics and program evaluation.
  • Work as part of a team to advance the partnership between the West Virginia University Health Sciences Center and the West Virginia Department of Human Services
  • Facilitates communication and efficient collaboration between research partners at the West Virginia University Health Sciences Center and the staff of the West Virginia Department of Human Services.
  • Oversee and conduct analyses of Medicaid claims data using SAS and other statistical analysis packages at the direction of the Director of Health Data Analytics or leadership within the Department for Human Services.
  • Support both West Virginia University faculty as well as leadership within the Department for Human Services in using Medicaid claims data as well as other state data sources to answer research questions of interest to the state.
  • Train other West Virginia University faculty in analyzing Medicaid claims data and other state data sources using SAS or other statistical analysis packages.
  • Ensure that data analytic and research/evaluation activities are compliant with university-level policies for the responsible conduct of research as well as federal, and state policies.
  • Provides consultation to faculty and government partners regarding preparation of research proposals, design and methodology, data analytics and interpretation of results.
  • Identify opportunities for potential collaborations between the Health Sciences Center and the West Virginia Department of Human Services.
  • Prepares reports as required by the University, the Health Sciences Center administration, and external agencies. Communicates results of analytic projects and program evaluations with relevant staff of the West Virginia Department of Human Services.
  • Conducts or directs special projects as assigned. Acts in other matters and capacities as delegated by the Associate Vice President for Health Affairs or the Director of Health Data Analytics.
  • Assist with the publication of peer-reviewed manuscripts

Qualifications
  • PhD in health or data science-related field.
  • A minimum of three (3) years of experience:
    • Record of research and achievement in health outcomes and policy research (health services research, public health informatics, health policy, clinical outcomes) as evidenced by publications and / or sustained involvement in a research program.
    • Experience conducting research/evaluation using large health data sources within the healthcare industry or academic or governmental sectors
  • All qualifications must be met by the time of employment

Knowledge, Skills and Abilities
  • Extensive knowledge and experience in utilizing large health databases for research, program evaluation, and policy development.
  • Experience analyzing Medicaid administrative claims data.
  • Extensive knowledge in the use of standard statistical analysis packages such as SAS or R
  • Experience designing and overseeing large research projects using administrative claims data.
  • Record of successfully publishing peer-reviewed manuscripts in the field of health services research
  • Experience training and / or supervising other individuals in using statistical analysis packages to analyze administrative claims data.
  • Ability to project and maintain a positive and collaborative attitude.
  • Record of accomplishments in health data analytics.
  • Strong ability to communicate goals, methods, and results of research initiatives with key stakeholders.\
  • Proficiency presenting the results of data analyses to diverse groups of stakeholders.

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