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Information Science Jobs in Kentucky (NOW HIRING)

Senior Data Scientist

Woodlawn, KY · On-site

$130 - $170/hr

Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized ...

$75 - $120/hr

Posting Details Job Title Assistant Professor, Information Systems Division Divison of Academic Affairs Department Department of Information Science and Systems Work Status Full Time Position ...

$99 - $225/hr

... information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 12+ years of experience with scientific techniques such as mathematics ...

$140 - $180/hr

MS in Computer Science, Information Science, Management Information Science, related discipline, or equivalent experience * Hands-on experience with AI-assisted or agentic development tools (e.g ...

$94.93/hr

Bachelor's degree in a relevant field such as computer science, computer information systems, etc., or equivalent combination of education, training, and experience. * Two years of experience in a ...

$110 - $170/hr

Summary Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data ...

$110 - $150/hr

Bachelor's or master's in computer science, MIS, or related field or equivalent experience.* Certifications in IAM, IT Security, or related technologies are a plus.* Comfortable working in high ...

$140 - $190/hr

PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus on AI, machine learning, natural language processing, deep learning, knowledge graphs, or related ...

$86 - $155/hr

PhD in computer science, data science, information science, mathematics or a related field preferred. Minimum Experience * Minimum requirement: 4+ years of experience developing, optimizing, or ...

$105 - $135/hr

Master's Degree in library or information science from an ALA-accredited institution * Experience with MS Office applications (e.g. Word, PowerPoint, Outlook, Excel, Teams, OneDrive, SharePoint)

$105 - $135/hr

Master's Degree in library or information science from an ALA-accredited institution * Experience with MS Office applications (e.g. Word, PowerPoint, Outlook, Excel, Teams, OneDrive, SharePoint)

$105 - $135/hr

Master's Degree in library or information science from an ALA-accredited institution * Experience with MS Office applications (e.g. Word, PowerPoint, Outlook, Excel, Teams, OneDrive, SharePoint)

School of Information Science Work Location Lexington, KY Salary Range $20 per hour Type of Position Student Position Time Status Part-Time Required Education N/A Required Related Experience N/A ...

New

School of Information Science Work Location Lexington, KY Salary Range $20 per hour Type of Position Student Position Time Status Part-Time Required Education N/A Required Related Experience N/A ...

New

$72 - $98/hr

The requirement for the rank of instructor (non-tenure track) is a Master of Library Science (MLS) or a Master of Library and Information Science (MLIS) or an equivalent degree from an ALA-accredited ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics ...

$110 - $140/hr

Computer Science, Information Systems, Mathematics, or Engineering* Total Years of Experience: 5+ years with a bachelor's degree or 12 - 15 years + without a bachelor's across software development ...

$90 - $110/hr

Bachelor's degree in Computer Science, Business or Information Science. * Minimum of 5 to 10 years of experience in the field or in a related area. * Knowledge and experience in Dynamics Business ...

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Information Science information

See Kentucky salary details

$4

$37

$55

How much do information science jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for information science in Kentucky is $37.09, according to ZipRecruiter salary data. Most workers in this role earn between $25.87 and $44.28 per hour, depending on experience, location, and employer.

What is information science?

Information science is an interdisciplinary field that focuses on the collection, organization, storage, retrieval, and analysis of information. It combines aspects of computer science, library science, cognitive science, and social sciences to understand how people interact with information and technology. Information scientists often design systems and processes to manage data effectively, improve information accessibility, and support decision-making in various settings such as libraries, businesses, and research institutions.

What are the qualifications to get an information science job?

The qualifications for a career in information science (IS) include a bachelor’s degree in information systems, although librarians typically need an advanced degree. Most employers looking for librarians prefer several years of industry experience. Many of them also require passage of the PRAXIS II Library Media Specialist test or certification. Excellent organizational and technical skills are essential for either career path, and you must stay current with the technology. Interpersonal skills are also helpful, whether for dealing with the general public or other non-IT staff and colleagues.

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

To thrive as an Information Scientist, you need a strong foundation in data management, information retrieval, and analytical research methods, typically supported by a degree in information science or a related field. Familiarity with database management systems, data analysis tools (such as SQL, Python, or R), and metadata standards is often required, along with certifications like Certified Information Professional (CIP) being advantageous. Excellent problem-solving, communication, and organizational skills help in interpreting data needs and delivering actionable insights. These competencies ensure accurate data handling, effective information dissemination, and informed decision-making in organizations.

What are some common challenges faced by information science professionals when working with large datasets, and how are these typically addressed?

Information Science professionals often encounter challenges such as data quality issues, integrating data from diverse sources, and ensuring data security when working with large datasets. Addressing these challenges typically involves using advanced data cleaning techniques, employing robust data integration tools, and collaborating closely with IT and security teams to implement strong data governance policies. Continuous learning about new data management technologies and best practices is also essential to stay effective in this dynamic field.

What is the difference between Information Science vs Data Analyst?

AspectInformation ScienceData Analyst
Required CredentialsBachelor's or Master's in Information Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often includes certifications in data analysis tools
Work EnvironmentResearch labs, libraries, tech companies, academiaBusiness settings, finance, marketing, healthcare
Industry UsageInformation management, knowledge organization, information systemsData interpretation, reporting, data visualization

While both roles involve working with data and information, Information Science focuses on managing, organizing, and retrieving information systems, often in research or library contexts. Data Analysts primarily analyze data to generate insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What do you do in information science?

In information science, professionals analyze, organize, and manage data and information systems to improve access and usability. They often work with databases, information retrieval, and data analysis tools to support decision-making and knowledge management.

What jobs can I do with information science?

With a degree in information science, you can pursue roles such as data analyst, data scientist, information systems manager, database administrator, user experience designer, or information security analyst. These jobs often require skills in data management, programming, and understanding of information systems, and may involve working with tools like SQL, Python, or data visualization software.

What are popular job titles related to Information Science jobs in Kentucky?

For Information Science jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Information Science jobs in Kentucky look for?

The top searched job categories for Information Science jobs in Kentucky are:

Infographic showing various Information Science job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 18% Part Time, 7% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $77,149 per year, or $37.1 per hour.

Senior Data Scientist

Omm IT Solutions

Woodlawn, KY • On-site

$130 - $170/hr

Other

Re-posted 2 days ago


Job description

Permanent W-2 Employee / Corp2Corp Contractor | Omm IT Solutions | United States

Posted On 08/14/2026

Job Information

Start Date 08/16/2026 12:00 AM

Compensation Negotiable

IT Services

Work Authorization Authorized to work in USA

Background Check/Public Trust Clearance US Public Trust Clearance

Job Opening ID Omm2996J

State/Province Maryland

City Woodlawn

21041

Job Description

PLEASE NOTE:

  • IT IS 100 % On Site position in Woodlawn
  • Selected candidate must be able to obtain and maintain a public trust clearance
  • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week

KEY REQUIRED SKILLS:

  • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction concepts including Named Entity Recognition, Blocking and Indexing, String Distance Metrics, TF-IDF/Cosine Similarity, Phonetics Encoding, Address Standardization
  • Solid Python, Regex, and SQL experience

POSITION DESCRIPTION:

  • Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.
  • Data Hygiene & Management: Clean, transform, and manage large-scale datasets from diverse, complex sources, ensuring absolute data integrity, reliability, and security.
  • Performance Optimization: Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.
  • Engineering Standards: Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.
  • End-to-End Delivery: Support data validation, testing, deployment, and post-implementation monitoring in a fast-paced environment.
Requirements

BASIC QUALIFICATIONS:

  • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree
  • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries/frameworks.
  • Overall 10+ years’ experience in IT industry

REQUIRED SKILLS:

  • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction including:
  • Practical knowledge of Named Entity Recognition and Address Standardization to extract and clean unstructured text data.
  • Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding.
  • Experience applying TD-IDF and Cosine Similarity for text comparisons and information retrieval.
  • Strong Python development skills for building analytics solutions and manipulating data.
  • Advanced SQL proficiency for complex data querying, optimization, and database operations.
  • Practical experience using Regex for advanced text processing, data cleansing, and pattern matching.
  • Familiarity with specialized libraries and frameworks including:
  • Linkage libraries such as Splink / FastLink, Dedupe, or recordlinkage
  • Core Python data science libraries, specifically spaCy for NLP tasks and Scikit-Learn for general machine learning and clustering
  • Familiarity with code reviews, version control, and maintaining data security and reproducibility standards.

DESIRED SKILLS:

  • Prior experience delivering IT or data initiatives within federal, state, or local government environments
  • Proven ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through to post-implementation.
  • Experience retrieving, migrating, and manipulating data from legacy and distributed systems, including PostgreSQL, DB2, Oracle, SQL Server, and Hadoop, as well as unstructured flat files.
  • Experience utilizing Jenkins to automate continuous integration, testing, and deployment (CI/CD) for data validation pipelines.
  • Experience with pipeline automation tools to schedule and monitor complex data cleansing jobs.
  • Strong ability to translate complex algorithmic decisions (such as probabilistic match thresholds) into clear business logic for executive leadership and non-technical stakeholders.
  • Excellent problem-solving skills and proven verbal/written communication skills when collaborating across cross-functional teams.
Education/Work Experience

Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree

Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries/frameworks.

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