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Data Science Major Jobs in Kentucky (NOW HIRING)

$180 - $220/hr

As a startup originating from a major healthcare plan in the Northwest, we combine deep health-tech ... Advanced proficiency in data architecture, data engineering, and data science methodologies

New

$180 - $240/hr

What We\'re Looking For 5+ years of experience in data science or growth analytics within an ads ... Strongly Preferred Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn)

Machine Learning Intern

Lexington, KY · On-site

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...

Machine Learning Intern

Louisville, KY · On-site

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...

Machine Learning Intern

Lexington, KY · On-site

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...

Machine Learning Intern

Louisville, KY · On-site

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...

$150 - $210/hr

Major Tasks, Responsibilities and Key Accountabilities * Serves as the principal engineering authority for enterprise‑grade systems supporting data science, machine learning, and AI in Azure and ...

$150 - $200/hr

At Gallup, our pre-hire assessment science is backed by decades of research, millions of data ... major client engagements alongside strategy, analytics, technology and client-service colleagues.

$96 - $116/hr

Key Responsibilities and Major Duties: * Contribution to Analytical AI Community: * Contribute as part of a collaborative team of data scientists, forecasting SMEs, and machine learning practitioners.

New

$256 - $414/hr

Engineering teams are no longer the sole evaluator -- data scientists and data-focused PMs now ... Expand coverage across major data warehouses and query layers. Deliver parity on analysis-only mode ...

$140 - $190/hr

The team brings together data, application development, and machine learning -- including ... Bachelor's degree in Computer Science or a related technical major Preferred Qualifications

$184 - $357/hr

The team is looking for an outstanding engineer and/or scientist to apply their parallel ... next major contributor! What you'll be doing: * Own development for "UcxExchange" in Velox (30%

$120 - $148/hr

... major portion of the company's marketing spend and have a material impact on overall business ... You will live in the data: partnering with the data science team building and validating targeting ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

$122 - $203/hr

... product launches, major industry conferences, key data releases, and other critical events ... Data Science and AI methodologies, models and tools: R, Python, SAS, AI Models. Prompt Engineering ...

New

$157 - $213/hr

... applied data science/AI. This person will combine deep clinical informatics expertise with ... Maintain expert‑level, current knowledge of major hospital ranking, rating, and benchmarking ...

New

$180 - $260/hr

Lead preconstruction strategy and execution across major projects and pursuits. * Oversee ... Maintain subcontractor performance data to support buyout and risk decisions. * Identify additional ...

New

$176 - $282/hr

... or major tasks. * Coordinate the identification of personnel to fill all vacancies on the task ... Bachelor's degree in a technical field such as computer science, engineering, data science ...

$90 - $130/hr

Develops and modifies software to meet the specifications outlined in data processing requests ... Information Systems or Computer Science major preferred. Six (4-6) years of language development in ...

New

$140 - $190/hr

... data scientist. * 3+ years of professional experience working with a major cloud platform such as GCP, Azure, Snowflake, or Databricks. * Strong Python development skills. * Experience building ...

New

Showing results 21-40

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

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

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

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

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

What cities in Kentucky are hiring for Data Science Major jobs?

Cities in Kentucky with the most Data Science Major job openings:

Infographic showing various Data Science Major job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$180 - $220/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Opala develops healthcare products that tackle the most complex data challenges faced by payers and providers. As a startup originating from a major healthcare plan in the Northwest, we combine deep health-tech expertise with top-tier data and software engineering talent to create products that our customers find meaningful and valuable. These data products empower payers and their partners to find timely insights and take action to intervene in areas like value-based care analytics, interoperability compliance, and real-time streaming of clinical data.

In this remote position, we're seeking an exceptional Director of Data to lead our data organization and drive the technical execution of our data strategy. This role requires a unique combination of deep healthcare domain expertise, advanced technical skills across the data stack, and proven leadership experience. You'll be responsible for building and scaling our data infrastructure that connects complex healthcare payer and provider systems, creating unified patient records that power our product offerings.

As a key member of our leadership team, you'll partner directly with our CTO to define and execute our data strategy, ensuring our product roadmap is supported by robust, compliant, and scalable data solutions. This is a high-impact role in a growing startup where your technical expertise and strategic thinking will directly contribute to our success.

Key Responsibilities

Technical Leadership & Architecture

  • Design and implement scalable data architectures that integrate healthcare payer data, health exchange data, and provider systems / EMR data into unified golden records
  • Lead the technical strategy for mapping diverse healthcare data sources to industry standards like HL7’s FHIR, ensuring interoperability and exchange
  • Architect, implement and optimize data pipelines using modern patterns within batch and real-time data integrations to our data APIs and our customer + partner data platforms
  • Drive technical decisions around our Databricks implementation, optimizing for development velocity, cost efficiency, and operational excellence
  • Establish data governance frameworks and operationalize data quality, lineage, and documentation
  • Guide modern and legacy data integration capabilities from SFTP, to Delta Sharing, to EMR integrations
Team Management & Development
  • Lead and mentor a team of data engineers, analysts, and QA engineers, fostering a culture of technical excellence and continuous learning
  • Recruit, hire, and develop top-tier data talent with healthcare domain expertise
  • Collaborate closely with product, engineering, and operations teams to ensure data solutions align with our objectives
  • Establish engineering processes, code review standards, and quality assurance practices for the data team
Strategic Partnership & Growth
  • Partner with the CTO on long-term data strategy and technology roadmap planning
  • Collaborate with product leadership to ensure our data strategy supports and accelerates our product strategy
  • Drive data-informed decision making across the organization – and our customers -through robust analytics and reporting
Required Qualifications

Healthcare Domain Expertise

  • 5+ years of experience in healthcare data, with deep understanding of payer and provider data ecosystems
  • Extensive experience with healthcare data standards (FHIR, HL7, X12) and clinical data formats
  • Proven track record of working with EMR systems, claims data, and clinical workflows
  • Strong understanding of healthcare regulatory landscape (HIPAA, HITECH, FDA, CMS requirements)

Technical Expertise

  • Advanced proficiency in data architecture, data engineering, and data science methodologies
  • Expert-level experience with Databricks, including optimization for cost and performance
  • Strong background in pub/sub architectures, batch processing, and real-time data integration in the healthcare ecosystem
  • Proficiency in modern data stack technologies (Python, SQL, Spark, Kafka, etc.)
  • Experience with cloud platforms (Azure, AWS or GCP) and infrastructure as code
  • Familiarity with emerging technologies within AI/ML

Leadership & Communication

  • 3+ years of experience leading technical teams, preferably in high-growth startup environments
  • Proven ability to recruit, develop, and retain top technical talent
  • Excellent communication skills with ability to translate complex technical concepts to non-technical stakeholders
  • Exceptional collaboration skills with cross-functional teams including product, engineering, and clinical stakeholders
Preferred Qualifications
  • Advanced degree in Computer Science, Engineering, Data Science, or related field
  • Experience with healthcare interoperability standards organizations like HL7 Da Vinci
  • Previous experience at a health tech startup or healthcare technology company
  • Knowledge of machine learning and AI applications in healthcare
  • Experience building data products, federated data architectures, and customer facing platforms
  • Comfortable presenting and performing discovery with customers and partners
  • Familiarity with healthcare quality measures and value-based care models
Benefits
  • The Seattle base salary range for this full-time position is up to $220k.Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Benefits include medical, dental, vision, life and AD&D insurance, EAP, short-term and long-term disability, 16 days PTO, 8 paid holidays, fully paid holiday closure, parental and family medical leave, 401k, stock options and annual bonuses and salary increases based on merit.
Diversity and Inclusivity Statement
  • At Opala, we believe that diversity and inclusivity are critical to our success. We encourage and value diverse perspectives and experiences, and we believe that they are essential for driving innovation and creating products that meet the needs of our diverse customer base.

Opala is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

If you were to accept an offer w/Opala, how soon could you start?*

Are you currently authorized to work indefinitely in the US on a Full Time basis for any employer?*

If yes, will you require visa sponsorship now or in the near future?*

What prompted you to apply to this opening?*

How many years of professional experience do you have with Healthcare data?*

How would you rate your expereince with healthcare data standards (FHIR, HL7, X12) and clinical data formats?*

How many years of experience do you have leading technical teams, where you were specifically responsible for performance management, setting technical direction for the team and collaborating with cross-functional teams including product, engineering, and clinical stakeholders?*

Plese describe your experience with cloud platforms (Azure, AWS or GCP), infrastructure as code and Databricks?*

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