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Data Science Associate Jobs in West Virginia (NOW HIRING)

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

... Associate, or Python/Data Science credentials). * Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise decision-support applications. * Understanding of ...

MSS MJH Shared Services

Senior Data Analyst

Charleston, WV

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

At MJH Life Sciences our success is measured by your success! If you set your standards high and ... Our associates come from all backgrounds, sharing one key quality: determination to succeed. We ...

Nwacc

NWACC offers a full range of associate degrees, certificates and workforce training programs that ... Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial ...

NorthWest Arkansas Community College

NWACC offers a full range of associate degrees, certificates and workforce training programs that ... Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial ...

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Data Science Associate information

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$44.5K

$52.7K

$99.9K

How much do data science associate jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science associate in West Virginia is $52,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $46,100.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

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

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

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

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

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,673 per year, or $25.3 per hour.

Senior Data Scientist

Govcio LLC

Kearneysville, WV • On-site

$133K - $169K/yr

Full-time

Re-posted 17 days ago

GovCIO rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

109th of 224 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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