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Data Science Government Jobs in Kentucky (NOW HIRING)

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

Use data science and machine learning principles to develop effective predictive models * Write ... government with your Form I-9 information to confirm that you are authorized to work in the U.S.

The National Academies of Sciences, Engineering, and Medicine

Collaborates with experts and sponsors from federal, state, and local government agencies ... Degree or experience in biomedical informatics, computer science, data science, information studies ...

Varsity Tutors

High School Government Tutor

Louisville, KY · Remote

$18 - $40/hr

... data, and understanding the relationship between state and federal authority. Emphasizes developing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

High School Government Tutor

Lexington, KY · Remote

$18 - $40/hr

... data, and understanding the relationship between state and federal authority. Emphasizes developing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Data Science Government information

How does collaboration typically work between data scientists and policy teams in government settings?

In government settings, data scientists often work closely with policy teams to translate complex data insights into actionable policy recommendations. Collaboration usually involves regular meetings to align on project goals, clarify data needs, and discuss findings. Data scientists help interpret analytical results in the context of policy objectives, while policy teams provide guidance on legislative priorities and practical constraints. This cross-functional teamwork ensures that data-driven solutions are both technically sound and aligned with public interest.

What is a data scientist in government?

A data scientist in government applies statistical analysis, machine learning, and data visualization techniques to solve public sector challenges. They work with large datasets from various sources, such as census records, public health data, and transportation systems, to extract insights that inform policy decisions and improve public services. Their work can include predictive modeling, program evaluation, and developing tools for transparency and accountability. Government data scientists often collaborate with policymakers, IT professionals, and researchers to ensure data-driven decision-making. This role is crucial for making government operations more efficient and responsive to the needs of citizens.

What are the key skills and qualifications needed to thrive as a Data Scientist in government, and why are they important?

To thrive as a Data Scientist in government, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and government-specific data platforms, as well as relevant certifications like Certified Analytics Professional, is highly valued. Excellent communication, problem-solving, and collaboration skills help translate complex data into actionable insights for diverse stakeholders. These skills ensure that data-driven decisions effectively support public policy, enhance services, and address societal challenges.
What are popular job titles related to Data Science Government jobs in Kentucky? For Data Science Government jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Science Government jobs in Kentucky look for? The top searched job categories for Data Science Government jobs in Kentucky are:
What cities in Kentucky are hiring for Data Science Government jobs? Cities in Kentucky with the most Data Science Government job openings:
Data Science Government jobs near you
Infographic showing various Data Science Government job openings in Kentucky as of July 2026, with employment types broken down into 5% As Needed, 85% Full Time, 5% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Senior Data Scientist

Cognizant Technology Solutions

Louisville, KY • On-site

Full-time

Posted 4 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

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Data Scientist
About the role
As a Data Scientist, you will make an impact by transforming complex healthcare and business data into actionable insights that drive strategic decision-making and operational improvements. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data engineers, analysts, and technology teams to develop advanced analytics, predictive models, and forecasting solutions that deliver measurable business value.
In this role, you will:
  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business objectives.
  • Develop predictive, forecasting, and statistical models to drive data-informed decision-making and business outcomes.
  • Perform exploratory data analysis, hypothesis testing, correlation analysis, and advanced statistical evaluations to solve business challenges.
  • Build and optimize analytical solutions and data pipelines using Python, SQL, and Databricks.
  • Partner with business and technical stakeholders to translate business requirements into scalable analytics solutions and effectively communicate findings.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring time in a Cognizant or client office in Dallas, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or related analytical roles.
  • Strong hands-on experience with SQL and Python, including libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience developing predictive models, forecasting solutions, and statistical analysis frameworks.
  • Hands-on experience with Databricks and modern analytics platforms.
  • Strong understanding of data visualization, data storytelling, and communicating analytical insights to stakeholders.
  • Experience working with large-scale datasets and delivering business-focused analytical solutions.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.
  • Healthcare industry experience is required.
These will help you stand out
  • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Experience deploying machine learning models into production environments.
  • Knowledge of healthcare analytics, population health, clinical data, claims data, or healthcare operations.
  • Familiarity with data engineering concepts, data governance, and data quality frameworks.
  • Experience working within Agile delivery environments.
  • Advanced degree in Data Science, Statistics, Machine Learning, or a related discipline.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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