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Data Science Jobs in Bridgeport, WV (NOW HIRING)

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law enforcement clients. This role is responsible for ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

Design, develop, and maintain enterprise database solutions supporting the N-DEx Data Science Environment and advanced analytics initiatives. * Develop, build, and maintain database utilities ...

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Data Science information

See Bridgeport, WV salary details

$38.1K

$124.8K

$199.8K

How much do data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science in Bridgeport, WV is $124,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,300.00 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

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For Data Science jobs in Bridgeport, WV, the most frequently searched job titles are:

What cities near Bridgeport, WV are hiring for Data Science jobs?

Cities near Bridgeport, WV with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Bridgeport, WV as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,778 per year, or $60 per hour.

Senior Data Architect

Data Intelligence LLC

Clarksburg, WV • On-site

$66 - $88.25/hr

Full-time

Re-posted 23 days ago

Job description

Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law enforcement clients. This role is responsible for designing, developing, and maintaining enterprise database solutions, data processing systems, and data architecture that support the National Data Exchange (N-DEx) Data Science Environment and advanced analytics capabilities.
The Senior Data Architect will provide technical leadership in database architecture, data processing, automation, and analytics while supporting enterprise data quality initiatives, modernizing data management processes, and enabling secure information sharing across criminal justice systems. The ideal candidate possesses deep expertise in relational databases, data integration, scripting, cloud technologies, and enterprise data architecture within a highly secure federal environment. This position may be performed remotely or onsite in Clarksburg, West Virginia.
Key Responsibilities
  • Design, develop, and maintain enterprise database solutions supporting the N-DEx Data Science Environment and advanced analytics initiatives.
  • Develop, build, and maintain database utilities, scripts, and automation processes that improve system performance and operational efficiency.
  • Maintain, troubleshoot, and optimize enterprise databases by resolving synchronization issues, failures, access problems, and performance bottlenecks.
  • Automate routine and ad hoc reporting processes to improve reporting accuracy and operational efficiency.
  • Design, implement, and maintain tracking tools supporting enterprise projects, data integration initiatives, and data quality management.
  • Develop analytical tools and reporting solutions that support data ingest analysis, data management, and enterprise analytics.
  • Design and maintain data processing pipelines and automation projects supporting enterprise information sharing.
  • Provide subject matter expertise in enterprise data architecture, database design, and available data assets.
  • Monitor and maintain database health through optimization, storage management, data purging, and performance tuning.
  • Support and maintain the N-DEx Data Science Environment while enabling advanced analytics that identify systemic data quality issues resulting from policy, process, or technical changes.
  • Develop and maintain tools, models, and automation solutions that leverage modern data technologies and data science methodologies to generate actionable technical and business insights.
  • Develop, maintain, and update technical documentation, including:
    • Standard Operating Procedures (SOPs)
    • Technical documentation
    • Process workflows
    • White papers
    • Status reports
    • Dashboards
    • Program reports
  • Track project milestones, deliverables, and operational metrics while providing recurring reporting and updates to leadership.
  • Operate within the FBI CJIS Division's Scaled Agile Framework (SAFe) environment and actively participate in Agile Release Train (ART) activities.

Required Qualifications
Education
  • Bachelor of Science degree in Computer Science, Data Science, Information Systems, Software Engineering, Database Administration, Information Technology, or a related technical discipline.

Required Experience
Candidates must demonstrate experience in the following areas:
  • Enterprise database architecture, administration, and optimization.
  • Designing and maintaining database utilities, automation scripts, and performance enhancement solutions.
  • Database troubleshooting, synchronization, performance tuning, storage optimization, and data lifecycle management.
  • Data ingest, processing, transformation, and enterprise data integration.
  • Developing automated reporting solutions and enterprise data quality tracking tools.
  • Managing Virtual Machines (VMs) and Virtual Desktop Infrastructure (VDI) within cloud environments, including:
    • Amazon Web Services (AWS)
    • Microsoft Azure
  • Law enforcement data standards and Information Exchange Package Documentation (IEPD) specifications.
  • Software Procedural Languages (SPL), including:
    • PL/SQL
    • T-SQL
  • Software development using:
    • Java
    • Python
    • C#
    • C
    • .NET
  • Database platforms, including one or more of the following:
    • Microsoft Access
    • PostgreSQL
    • MySQL
    • Sybase
    • Firebird
    • c-tree Advanced Concurrent Engine (ACE)
    • SQL Developer
    • Other relational database systems
  • XML technologies, including one or more of the following:
    • XML
    • XSLT
    • XSD
    • DTD
  • Data standards, validation methodologies, and data quality tools.
  • Maintaining and troubleshooting enterprise data connections.
  • Developing and troubleshooting software tools and utilities using:
    • Python
    • PHP
    • JavaScript
  • Configuring and maintaining enterprise systems across:
    • Windows
    • Linux
    • Unix
  • Microsoft technologies, including one or more of the following:
    • Visual Basic for Applications (VBA)
    • Microsoft Access
    • Microsoft Excel
    • Microsoft Visio
  • Creating, implementing, and maintaining enterprise tracking tools supporting data integration and data quality initiatives.
  • Maintaining and upgrading enterprise data storage infrastructure and deploying data analysis tools and processes.

Preferred Qualifications
  • Experience supporting federal law enforcement or criminal justice information systems.
  • Familiarity with FBI Criminal Justice Information Services (CJIS) environments.
  • Experience supporting enterprise data science, analytics, and large-scale data modernization initiatives.
  • Experience with enterprise data governance, data quality management, and information sharing programs.
  • Experience working within a SAFe Agile environment.

Security Clearance
  • Active Top Secret Clearance is required.
  • Candidates must be able to maintain the required security clearance throughout employment.

Why Join Data Intelligence, LLC?
At Data Intelligence, LLC, we are committed to delivering innovative technology solutions that strengthen national security and public safety. Our professionals partner with federal agencies to modernize enterprise data environments, enhance advanced analytics capabilities, and improve secure information sharing across the criminal justice community. We foster a collaborative, mission-driven culture that values technical excellence, innovation, integrity, and continuous professional development while supporting some of the nation's most critical law enforcement missions.

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