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Entry Level Data Scientist Machine Learning Jobs in Kentucky

SynergisticIT

Entry Level Business Analyst

Richmond, KY · On-site

Data analysts/data scientists * Machine learning engineers Who Should Apply * Recent graduates in ... or entry-level positions. Hands-on project work at client sites and additional skills are key to ...

Purple Drive

Machine Learning Engineer

Louisville, KY · On-site

Machine Learning Engineer Location: Louisville, KY Responsibilities: * Build, train, and deploy ML ... Bachelor's/Master's in CS, Data Science, or related field. * Strong Python skills with ML ...

Varsity Tutors

Machine Learning Tutor

Louisville, KY · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lexington, KY · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SynergisticIT

Software developer

Louisville, KY · On-site

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

Indeed

Machine Learning Engineer

Louisville, KY · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...

Varsity Tutors

Data Science Tutor

Lexington, KY · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Entry Level Data Scientist Machine Learning information

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

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Kentucky? The most popular types of Data Scientist Machine Learning jobs in Kentucky are:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Kentucky? For Entry Level Data Scientist Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Kentucky look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Entry Level Data Scientist Machine Learning jobs? Cities in Kentucky with the most Entry Level Data Scientist Machine Learning job openings:
Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Kentucky as of May 2026, with employment types broken down into 67% Full Time, 32% Part Time, and 1% Temporary. Highlights an 15% Physical, and 85% Remote job distribution.
Entry Level Business Analyst

Entry Level Business Analyst

SynergisticIT

Richmond, KY • On-site

Other

This job post has expired today. Applications are no longer accepted.

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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