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Python Data Scientist Jobs in Kentucky (NOW HIRING)

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong programming skills in Python, R, or similar analytical languages. * Extensive experience ...

New

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong programming skills in Python, R, or similar analytical languages. * Extensive experience ...

Senior Data Scientist

Canada, KY ยท On-site +1

$140K - $180K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI ... Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus

Lead Data Scientist

Canada, KY ยท On-site +1

$160K - $200K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI ... Fluency in Python and SQL; comfortable with Git and frameworks like PyTorch, Scikit-learn, or ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ...

The Lead Data Scientist owns the analytical agenda end to end, from problem framing through ... Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels) and SQL * Strong ...

The Lead Data Scientist owns the analytical agenda end to end, from problem framing through ... Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels) and SQL * Strong ...

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Showing results 1-20

Python Data Scientist information

See Kentucky salary details

$32.6K

$106.6K

$170.7K

How much do python data scientist jobs pay per year?

As of Jul 2, 2026, the average yearly pay for python data scientist 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.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Kentucky? For Python Data Scientist jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Kentucky look for? The top searched job categories for Python Data Scientist jobs in Kentucky are:
Infographic showing various Python Data Scientist job openings in Kentucky as of June 2026, with employment types broken down into 55% Full Time, 39% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.
Entry-Level Python Developer (Data Science)

Entry-Level Python Developer (Data Science)

SynergisticIT

Lexington, KY โ€ข On-site

$44 - $60.50/hr

Other

Posted 14 days ago


Job description

SYNERGISTICIT = exceptional skills and technologies enabled Candidates . we ensure you get the attention required from Tech Clients which you resume requires
Position open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists.
We welcome candidates with all visas and citizens to apply.
Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
Candidates who are serious about their future in the IT Industry and have set big goals for themselves.
Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes
Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement
Candidates who Lack Experience
Have had a break in careers
Lack Technical Competency
Different visa candidates who want to get employed and settle down in the USA

Please also check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If not a match candidates can opt for Skill enhancement.
REQUIRED SKILLS For Java/Software Programmers :
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, AWS, Microservices and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: Powerbi, Databricks, Snowflake, NLP, Text mining, Tableau, Time series analysis
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
Please apply to the posting
No phone calls please. Shortlisted candidates would be reached out