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Data Science Jobs in Edmonton, KY (NOW HIRING)

CATALIS

Software Developer I

Edmonton, KY · On-site

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience in ... Strong understanding of software design patterns, data access layers, and SQL stored procedures.

Commonwealth of Kentucky

Voc Rehab Counselor

Glasgow, KY · On-site

$4.2K/mo

... federal laws; enters data in the Case Management System; travels though-out the district to ... science, human services, vocational assessment, addiction counseling, addiction studies, or a ...

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All JobsData Science JobsData Science Jobs in Edmonton, KY

Data Science information

See Edmonton, KY salary details

$31.7K

$103.8K

$166.2K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in Edmonton, KY is $103,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $115,000.00 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 cities near Edmonton, KY are hiring for Data Science jobs? Cities near Edmonton, KY with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Edmonton, KY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 5% Hybrid, and 20% Remote job distribution, with an average salary of $103,795 per year, or $49.9 per hour.

Software Developer I

CATALIS

Edmonton, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Who We Are
Catalis is a leading government Software as a Service (SaaS) and integrated payments provider, powering a wide range of government operations at the municipal, county, state, and federal levels. Our innovative solutions are designed to streamline processes, enhance efficiency, and improve the delivery of government services to the public. At Catalis, we are committed to leveraging technology to make government interactions simpler, faster, and more accessible.
The Opportunity
Software Developer will be a key member of our Community Justice Solution team, focused on developing and maintaining a microservice-based architecture on Azure. This role involves contributing to the SDLC/PDLC framework, providing development support, implementation development, and managing technical debt. Software Developer II will work under the guidance of Senior Developers, a Development Manager, and Architect, ensuring high-quality code, secure coding practices, and adherence to best practices while also mentoring junior developers
What You Will Do
  • Participate across the full software development lifecycle, including analysis, design, development, testing, deployment, and ongoing support.
  • Apply Catalis development standards and best practices to solve complex technical problems.
  • Learn, evaluate, and apply new technologies independently, with training as needed.
  • Review requirements, estimate development effort, and contribute to setting timelines, deadlines, and ETAs.
  • Prioritize development work based on overall company and client impact.
  • Document progress, issues, and resolutions clearly to ensure continuity and effective team collaboration.
  • Actively participate in Agile sprint ceremonies, including planning sessions, reviews, and retrospectives.
  • Ensure solutions comply with industry standards, security requirements, and regulatory guidelines.
  • Identify and resolve technical debt while contributing to continuous improvement initiatives.
  • Mentor junior developers and foster a collaborative, high-performing team culture.
  • Stay current with industry trends, emerging technologies, and software development best practices, including responsible AI usage.

Requirements
What You Will Need to Succeed
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience in software development, with a strong focus on modernizing legacy systems.
  • Experience designing and developing enterprise-grade applications.
  • Strong hands-on experience with C# and/or VB.NET, with deep knowledge of the .NET Framework.
  • Demonstrated experience building applications using ASP.NET MVC and MVVM architectural patterns.
  • Proficiency with Azure services, C#, SQL, and modern microservices architectures.
  • Strong understanding of software design patterns, data access layers, and SQL stored procedures.
  • Experience implementing secure coding practices and CI/CD pipelines.
  • Working understanding of how to effectively use AI tools during coding for problem-solving, refactoring, testing, documentation, and development acceleration, while maintaining code correctness, security, and compliance.
  • Ability to pass U.S. background and fingerprint checks, if required.
  • Excellent analytical and problem-solving skills with the ability to address complex technical challenges.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively within a team environment and mentor junior developers.
  • Solid understanding of Agile methodologies and software development best practices.

What we Offer
  • A dynamic and supportive work environment in a mission driven organization
  • Competitive salary and benefits package, including health, dental, vision insurance
  • Paid Time Off
  • HSA and FSA options
  • 401(k) plan with matching contributions
  • Paid parental leave
  • ABLE matching contributions for the disability community
  • Employer paid short term and long-term disability insurance and group term life insurance
  • Financial and legal assistance through our EAP (Employee Assistance Program)
  • Opportunities for personal development and career advancement with free access to unlimited courses via Udemy
  • The chance to make a significant impact on the delivery of government services and the lives of citizens

EEO Statement
We are an equal opportunity employer and value diversity. We are committed to an inclusive environment for all. All candidates will be considered based on qualifications, merit, and business needs without regard to race, color, religion, national origin, age, non-qualifying mental or physical disability, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

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