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Data Science Jobs in West Virginia (NOW HIRING)

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

Experience developing, training, and deploying enterprise-level machine learning models and data science solutions using Python. * Proven experience building and maintaining large-scale data ...

GDIT

Healthcare Data Scientist (Medicare/Medicaid)

WV · On-site +1

$85K - $115K/yr

Data Science and Data Engineering Job Qualifications: Skills: Python (Programming Language), R Programming, Science Certifications: None Experience: 2 + years of related experience US Citizenship ...

GDIT

Sr. Healthcare Data Scientist (Medicare/Medicaid)

WV · On-site +1

$97K - $132K/yr

Data Science and Data Engineering Job Qualifications: Skills: Agentic AI, Big Data, Generative AI, Machine Learning Methods, Python (Programming Language) Certifications: None Experience: 5 + years ...

GDIT

Senior Data Scientist - Machine Learning

WV · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: Amazon Web Services (AWS), Healthcare Claims, Predictive Modeling, Python (Programming Language), Supervised Learning Certifications:

LMI

Data Scientist with Security Clearance

True, WV · On-site

$90K - $150K/yr

Stay current with emerging technologies, tools, and best practices in forecasting, statistics, and data science. * Explore customer needs and help identify ways to add value. Qualifications Required ...

Hagerty

Senior Data Scientist

Charleston, WV · On-site

This is a hands-on, build-and-ship role on the Data Science team, working in close partnership with ML Ops, Data Engineering, and Marketing/Product. You'll help create a unified, resolved view of ...

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All JobsData Science JobsData Science Jobs in West Virginia

Data Science information

See West Virginia salary details

$29K

$95K

$152.1K

How much do data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science in West Virginia is $95,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $105,300.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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 Data Science jobs in West Virginia?

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

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

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $95,020 per year, or $45.7 per hour.

Senior Data Scientist

Govcio LLC

Kearneysville, WV • On-site

$133K - $169K/yr

Full-time

Re-posted 8 days ago

GovCIO rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

110th of 226 rated it services

Job description

GovCIO is seeking a Senior Data Scientist to support a critical government computer system for the U.S. Coast Guard (USCG) Data & AI Integration Team. This role is primarily responsible for integrating AI/ML models, developing robust data pipelines, and implementing enterprise-level data management within the Data & AI Governance framework. This position will be located in Kearneysville, WV, and will be a hybrid position.
Responsibilities
As a Senior Data Scientist, you will serve as a primary technical resource and force multiplier for providing advanced analytical services and technical leadership across the Coast Guard's mission domains. You will design, build, and sustain shared data platforms to transform raw data into operational intelligence. Key responsibilities include:
  • Design, build, and integrate advanced AI/ML models and statistical algorithms into shared data platforms to enable data-driven decision dominance.
  • Develop and optimize robust data pipelines, automated ETL/ELT workflows, and analytical services to process enterprise-level data for operational use.
  • Enforce data governance standards, data management policies, and security controls across all integrated data assets and analytical models.
  • Deliver centralized, secure, and reusable data products that empower Product Teams to build interoperable, decision-support applications.
  • Provide technical leadership and architectural guidance to accelerate secure modernization, reduce technical debt, and ensure system resilience.
  • Collaborate with cross-functional teams, port authorities, and commercial partners to enable seamless data sharing, integration, and interoperability.
  • Proactively research and recommend emerging AI, machine learning, and advanced analytics technologies to support Force Design 2028 objectives.
  • Ensure all automated models and data services strictly comply with federal security standards, government baselines, and DISA STIGs.

Qualifications
High School with 9+ years (or commensurate experience)
Required Skills & Experience
  • DoD 8570 IAT Level II certification (Security+ CE, CySA+, CCNA Security).
  • Experience developing, training, and deploying enterprise-level machine learning models and data science solutions using Python.
  • Proven experience building and maintaining large-scale data pipelines, API frameworks, or cloud-based analytical environments.
  • Comprehensive operational understanding of data governance practices, data architecture principles, and secure data management.
  • Strong experience utilizing advanced database languages (such as SQL) and modern big data technologies to manipulate complex datasets.
  • Proficiency tracking, managing, and documenting analytical workflows within enterprise environments using tools like Jira or Azure DevOps.
  • Strong foundational understanding of diverse IT domains including enterprise virtualization, cloud architecture, geospatial services, and network boundaries.

Clearance Required: Active Secret Clearance
Preferred Skills & Experience
  • Experience supporting U.S. Coast Guard, Department of Homeland Security (DHS), or federal maritime mission programs.
  • Familiarity with USCG Force Design 2028 objectives or PEO C5I enterprise data environments.
  • Relevant professional certifications highly preferred (e.g., AWS Certified Data Analytics, Azure Data Scientist Associate, or Python/Data Science credentials).
  • Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise decision-support applications.
  • Understanding of secure MLOps practices, containerized model deployment (Kubernetes/Docker), and automated AI/ML security gating.

#JP #USCG #DICE
Posted Salary Range
USD $133,000.00 - USD $169,000.00 /Yr.

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