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Data Science Jobs in West Virginia (NOW HIRING)

GDIT

Sr. Dashboard Developer (Medicare/Medicaid)

WV · On-site +1

$85K - $115K/yr

Data Science and Data Engineering Job Qualifications: Skills: Building Dashboards, Data Analysis, Data Visualization Design, Data Visualization Tools Certifications: None Experience: 5 + years of ...

hireVouch

$94K - $113K/yr

This role is ideal for a recent Computer Science graduate eager to apply modern data tooling (AWS, PySpark, Python) toward solving meaningful sustainability challenges. Key Responsibilities

GDIT

Lead Data Engineer

WV · On-site +1

$103K - $123K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Analytics, Data Lake, Data Warehousing (DW) Certifications: None Experience: 7 + years of related experience US ...

GDIT

Lead Data Migration - Archival - DR Engineer

WV · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: Data Lake, Data Migration Design, Data Warehousing (DW), ETL Design Certifications: None Experience: 10 + years of related experience US ...

CFGI

Data & Analytics - Manager

Charleston, WV · On-site

Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, Statistics, Data Science, Engineering, or a related quantitative field. * CPA or other relevant professional ...

GDIT

Sr. Healthcare Data Analyst (Medicaid)

WV · On-site +1

$110K - $149K/yr

Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analytics, Statistical Analysis Certifications: None Experience: 5 + years of related experience US Citizenship Required:

GDIT

WV · On-site

Data Science and Data Engineering Job Qualifications: Skills: Amazon Bedrock, Amazon Web Services (AWS), Artificial Intelligence (AI), Machine Learning (ML), Retrieval-Augmented Generation ...

GDIT

Senior Data Engineer

WV · On-site +1

$95K - $129K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Analytics, Data Lake, Data Warehousing (DW), ETL Design Certifications: None Experience: 7 + years of related ...

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All JobsData Science JobsData Science Jobs in West Virginia

Data Science information

See West Virginia salary details

$29K

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$152.1K

How much do data science jobs pay per year?

As of Aug 16, 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.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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.
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 90% Full Time, and 10% Part Time. Highlights an 100% In-person job distribution, with an average salary of $95,020 per year, or $45.7 per hour.

Sr. Dashboard Developer (Medicare/Medicaid)

GDIT

WV • On-site, Remote

$85K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 hours ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

87th of 224 rated it services

Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Building Dashboards, Data Analysis, Data Visualization Design, Data Visualization Tools

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

Our work is looking for aDashboard Developer to help us support the Centers for Medicare and Medicaid Services (CMS).

At GDIT, people are our differentiator. As a Dashboard Developer you will be trusted to work with meaningful data, highlighting fraud, waste, and abuse (FWA) detected in the Medicare and Medicaid programs. In this role, a typical day will include:

  • Designing, developing, and maintaining interactive dashboards that provide meaningful insights using Tableau, Databricks, Snowflake, or similar platforms
  • Collaborating with data analysts, data scientists as well as managers to collect requirements, understand needs, and convert into visualizations
  • Converting raw data into compelling dashboards that enable efficient decision making
  • Maintaining and updating existing dashboards as needed, and train end users on how best to interact with them
  • Performing quality checks on visualizations for data accuracy
  • Presenting monthly visualizations at large meetings

Required Skills:

  • Bachelor's degree in Computer Science, Information Systems, Data Science (or related field of study)
  • 3-5 years of related experience
  • Must have familiarity with Medicare/Medicaid programs
  • Working knowledge of Databricks, Snowflake, or Tableau (or similar dashboard platforms)
  • Working knowledge of SQL, understanding of data modeling, and experience working with large datasets
  • Ability to create data visualizations to present complex analyses and to illustrate trends
  • Knowledge of best practices for dashboard design, including accessibility and usability standards
  • Familiarity with R or Python
  • Familiarity with HTML and JavaScript
  • Ability to obtain a Public trust and must have lived in the US for 3 of the past 5 years

Desired Skills:

  • Strong working knowledge of best practices for dashboard design, including accessibility and usability standards
  • Strong working knowledge of Python or SQL
  • Strong working knowledge of Databricks and Snowflake
  • Strong working knowledge of HTML and JavaScript
  • Excellent communication skills to work collaboratively with both technical and non-technical team members
  • Be a self-starter with a natural curiosity to understand, simplify and explain complex data

#GDITHealth

#healthcarefraud

#fwa

The likely salary range for this position is $85,093 - $115,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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