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Data Science Degree Jobs in Kentucky (NOW HIRING)

$140 - $190/hr

Advanced Degree (MS, PhD, or MBA) in a quantitative field such as Data Science, Statistics, or Economics is strongly preferred * 7+ years of progressive experience in the pharmaceutical, biopharma ...

$142 - $236/hr

As part of the Data Science and Engineering team, this role combines strategic leadership ... Requires a degree in a technical discipline * 2-5 years of previous management or lead experience ...

$138 - $167/hr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Bachelor's degree in systems Engineering or in related technical or scientific fields such as ...

$197 - $345/hr

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

New

$160 - $170/hr

Master's degree in a quantitative field, or bachelor's with significant professional experience. * 6+ years of experience in data science, data engineering, or a closely related technical discipline ...

$197 - $345/hr

Principal Data Scientist, Platform Monetization To get the best candidate experience, please ... Even better if you have: BS degree in a quantitative field (e.g. Computer Science, Economics ...

New

$124 - $171/hr

## Data science software developerApplyremote type: Remotelocations: US, Utah, Murraytime type: Full ... Bachelor's Degree or higher AND 7 years of software development experience, preferably using the ...

$90 - $130/hr

Associate's degree with 5 years of relevant experience. Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

$140 - $188/hr

Bachelor's or Master's degree in Data Science, Computer Science, or a related field. * 5-7 years of experience in data science, preferably supporting government or military programs. * Proficiency in ...

$140 - $190/hr

The Purpose of Your Role This individual will lead high‑profile applied data science and ... OR a Master's Degree in a related field with 3 or more years relevant professional experience

$162 - $185/hr

Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or ...

$90 - $140/hr

Bachelor\'s or Master\'s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics. * 3-5 years of hands-on experience in a Data Scientist or Senior Data Analyst ...

$140 - $180/hr

Master's degree in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization. * Five (5) or more years of relevant experience in big data analytics ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

$110 - $170/hr

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. * 5+ years of professional experience applying data science, advanced analytics, and ...

$125 - $140/hr

Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Engineering, Analytics, or related field, or equivalent practical experience. * 3+ years of experience in data science ...

New

$122 - $195/hr

Utilize data science and software engineering best practices in day-to-day work, including ... Master's degree with 4+ years of relevant professional experience required. * Demonstrated ...

$122 - $195/hr

Utilize data science and software engineering best practices in day-to-day work, including ... Master's degree with 4+ years of relevant professional experience required. * Demonstrated ...

$195 - $260/hr

Bachelor's or master's degree in data science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline. The proposed salary range for this position in Virginia is 195 ...

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Data Science Degree information

See Kentucky salary details

$32.6K

$106.6K

$170.7K

How much do data science degree jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data science degree in Kentucky is $106,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $118,100.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

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

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

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

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

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

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

Infographic showing various Data Science Degree job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 6% Part Time, 7% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.

Associate Director, Data Science

Grifols, S.A

On-site

$140 - $190/hr

Other

Posted 16 days ago


Grifols rating

6.6

Company rating: 6.6 out of 10

Based on 278 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical


Job description

Select how often (in days) to receive an alert: Create Alert

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.

We are looking for a candidate who can do more than just manage data; we need someone who can tame it. You will be responsible for transforming our complex and fragmented data ecosystem into a cohesive insights engine. This role is a unique blend of a data scientist, a decision scientist, and a strategic advisor. You will be empowered to provide the actionable recommendations that optimize our business end-to-end, from portfolio planning and supply chain to brand-level commercial execution.

Responsibilities
  • Strategic & Consultative Partnership: Serve as a primary insights partner to Commercial leadership. Proactively identify business challenges and translate them into analytics-driven solutions
  • End-to-End Business Optimization: Lead analytics for portfolio optimization, therapeutic area (TA) strategy, and in-line brand performance. Providing insights to shape strategy.
  • Advanced Modeling & Forecasting: Personally develop and oversee the creation of sophisticated scenario models, competitive assessments, and demand forecasts. Your work will directly inform long-range planning, launch strategy, and supply/channel mix decisions
  • Commercial Effectiveness: Design and implement advanced models for commercial effectiveness (e.g., Mix Modeling, Sales Force Effectiveness/SFE, cross-channel analytics) to measure ROI and optimize resource allocation
  • Data-Driven Storytelling: Act as the primary "storyteller," translating complex analyses from disparate data sources into a clear, compelling, and actionable narrative for senior leadership
  • Cross-Functional Collaboration: Be a hands-on, collaborative leader, working with data teams to integrate fragmented data sources (e.g., patient-level data, claims, specialty pharmacy, CRM, plasma collection data) into a holistic view of the business
Skills / Qualifications / Education

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This role requires a leader who is both technically proficient and possesses a high degree of business acumen.

Required Experience
  • Advanced Degree (MS, PhD, or MBA) in a quantitative field such as Data Science, Statistics, or Economics is strongly preferred
  • 7+ years of progressive experience in the pharmaceutical, biopharma, life sciences consulting or agency space
  • 4 - 6+ years of dedicated experience in a hands-on commercial analytics, data science, decision support, or insights function
  • Domain Expertise: Experience in the rare disease , plasma-derived therapies , or specialty biologics market is a significant advantage
  • Leadership & Influence: Proven track record of influencing senior leadership (VP level and above) and shaping commercial strategy with data-driven recommendations
  • Technical Proficiency: Hands-on proficiency with SQL is required. High-level proficiency in a data science language ( Python or R ) and data visualization tools ( Tableau or Power BI ) is strongly preferred
  • Data Expertise: Deep familiarity with US pharmaceutical data sources (e.g., IQVIA, Komodo, Symphony, patient-level data (PLD) , specialty pharmacy/distributor data)
  • Functional Expertise: Demonstrated mastery in demand forecasting , competitive intelligence , scenario modeling , and commercial effectiveness analytics
  • Exceptional business acumen ; an ability to see the "big picture" from collection to patient
  • A consultative mindset with the ability to manage ambiguity and frame complex problems
  • Superior communication and "storytelling" skills ; you must be able to build a narrative from the numbers
  • Depending on the area of assignment, directly related experience or a combination of directly related education and experience and/or competencies may be considered in place of the stated requirements. Example: If a job level requires a Master’s degree with 2 years of experience, an equavalency coudl include a Bachelor's degree plus 4 years’ experience or an Associate's degree with 6 years of experience

Work is performed in an office environment with exposure to electrical office equipment. Frequently sits for 6-8 hours per day. Frequent hand movement of both hands with the ability to make fast, simple, movements of the fingers, hands, and wrists. Frequently walks. Occasionally bends and twists neck. Light to moderate lifting and carrying objects with a maximum lift of 25lbs. Frequently drives to site locations and frequently travels within the United States. Able to communicate complex information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken words and sentences. Frequently interacts with others, relates sensitive information to diverse groups. Ability to apply abstract principles to solve complex conceptual issues. Performs a wide range of complex tasks as dictated by variable demands and changing conditions with little predictability as to the occurrence.

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Grifols provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. We will consider for employment all qualified applicants in a manner consistent with the requirements of all applicable laws.

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