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Entry Level Data Science Jobs in Kentucky (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Louisville, KY · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Domtar

Chemical Entry Level Engineer

Hawesville, KY

... Science Engineering interested in growth development and sophisticated project assignments to join ... Decipher data, apply findings into project recommendations, and revise project plans/drawings ...

Domtar

Chemical Entry Level Engineer

Hawesville, KY · On-site

... data, apply findings into project recommendations, and revise project plans/drawings/materials ... Desired major include Chemical or Paper Science Engineering. • Minimum GPA of 3.0. • Proficient ...

Pwc

Data Engineer - Senior Associate

Louisville, KY · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Kentucky

Entry Level Data Science information

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$23

How much do entry level data science jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level data science in Kentucky is $16.55, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.56 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Kentucky? The most popular types of Data Science jobs in Kentucky are:
What are popular job titles related to Entry Level Data Science jobs in Kentucky? For Entry Level Data Science jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Kentucky look for? The top searched job categories for Entry Level Data Science jobs in Kentucky are:
What cities in Kentucky are hiring for Entry Level Data Science jobs? Cities in Kentucky with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Kentucky as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $34,419 per year, or $16.5 per hour.
Entry Level Business Analyst

Entry Level Business Analyst

SynergisticIT

Richmond, KY

Other

Posted 13 days ago

Job description

SYNERGISTICIT understands that the job market is tough due to tech layoffs. Many laid-off jobseekers are competing with existing jobseekers, making it very competitive. Entry-level candidates need to stand out by having exceptional skills and technology knowledge to get noticed by clients.
Since 2010, we have helped jobseekers stand out by preparing them with the skills and experience needed to succeed in interviews and with clients. At SynergisticIT, we don't just help you find a job-we help build your career. All positions are open to all visa holders and U.S. citizens.
We understand the gap between employer requirements and employee skills. That's why we've helped thousands of people get jobs at top companies like Apple, Google, PayPal, Western Union, Visa, Walmart Labs, and more. We have a great reputation with clients.
Current Open Positions

  • Entry-level software programmers
  • Java full-stack developers
  • Python/Java developers
  • Data analysts/data scientists
  • Machine learning engineers
Who Should Apply
  • Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT.
  • Candidates of all visa types and U.S. citizens are welcome to apply.
  • We assist with filing STEM extensions, H1B visas, and Green Cards.
Skill Enhancement Programs Candidates can benefit from these programs if they:
  • Lack experience or are freshers with no real job experience.
  • Had a break in their career.
  • Lack the technical skills or competencies required by clients.
  • Are visa holders (e.g., OPT, H4 EAD, L2 EAD) who want to work and settle in the USA.
Check out success stories from our candidates here: https://www.synergisticit.com/candidate-outcomes/
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Required Skills for Java/Software Programmers
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Project experience with these skills.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, Docker, Jenkins, and REST APIs.
  • Strong written and verbal communication skills.
Required Skills for Data Science/Machine Learning
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Project experience with the needed technologies.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience in Java programming and understanding the software development life cycle.
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
  • Strong written and verbal communication skills.
Preferred Skills For Data Science/Machine Learning: NLP, Text Mining, Tableau, Power BI, and Time Series Analysis.
Important Note
  • Clients require relevant skills and experience on real-world projects, even for junior or entry-level positions. Hands-on project work at client sites and additional skills are key to being selected.
  • Candidates without these skills or project experience can opt for skill enhancement to gain the required qualifications and project work.
  • No third-party or c2c candidates, please.
  • Apply only through the posting.
  • No phone calls, and only shortlisted candidates will be contacted.

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