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Python Data Science Jobs in Kansas City, MO (NOW HIRING)

AEG

Data Scientist

Kansas City, KS · On-site

Evaluate other emerging methods and research to ensure SKC stays current with data science best ... Robust experience using both SQL and Python for data analysis, modelling and automation. * Strong ...

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to ... Experience using systems such as SQL, Python, or R * Strong knowledge of machine learning ...

Sunixa Solutions Inc

Data Scientist

Overland Park, KS · On-site

$50 - $55/hr

# Only on W2 DATA SCIENTIST Location: Overland park, Kansas Exp: 6-7+ Duration: Long term Job Summary ... Strong programming skills in Python / R, SQLHands-on experience with Machine Learning, Deep ...

Munich RE

Data Scientist

Kansas City, MO · On-site

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

The role blends applied data science, large language model (LLM) evaluation, and platform ... Proficiency in Python and SQL, and experience working within a modern data platform or cloud ...

WellSky

Data Scientist

Overland Park, KS · On-site

The role blends applied data science, large language model (LLM) evaluation, and platform ... Proficiency in Python and SQL, and experience working within a modern data platform or cloud ...

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All JobsPython Data Science JobsPython Data Science Jobs in Kansas City, MO

Python Data Science information

See Kansas City, MO salary details

$12

$57

$84

How much do python data science jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python data science in Kansas City, MO is $57.13, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $64.90 per hour, depending on experience, location, and employer.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000. Salary levels also vary based on certifications and the complexity of projects handled.

Is Python useful for data science?

Python is a widely used programming language in data science, valued for its simplicity and extensive libraries such as Pandas, NumPy, and scikit-learn. Data scientists and analysts often use Python for data manipulation, analysis, and machine learning tasks, making it a key skill in the field.

Which Python Data Science job is in demand?

Data Scientist and Machine Learning Engineer roles are currently in high demand in Python Data Science, especially those with skills in libraries like Pandas, NumPy, and scikit-learn, and experience with cloud platforms. These positions often require strong analytical skills, programming proficiency, and knowledge of statistical modeling or deep learning.

What are popular job titles related to Python Data Science jobs in Kansas City, MO?

For Python Data Science jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Python Data Science jobs in Kansas City, MO look for?

The top searched job categories for Python Data Science jobs in Kansas City, MO are:

Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Kansas City, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,985 per year, or $57.2 per hour.

Data Scientist

Kansas City, MO • On-site

US General Services Administration
Public Administration • 10K+ employees
Learn more about US General Services Administrationexternal

$108K/yr

Full-time

Re-posted 4 days ago

Job description

The GSA Office of Inspector General (OIG) is seeking a highly motivated and qualified Data Scientist for our Cyber and Data Analytics team in the Office of Investigations.

We are currently filling one vacancy that will be located in one of the following locations, but additional vacancies may be filled as needed.
Washington, DC
Boston, MA
Chicago, IL
Fort Worth, TX
Kansas City, MO
Lakewood, CO
Philadelphia, PA
Tacoma, WA

Qualifications:

Starting Pay for all locations will be dependent upon the associated GS-Locality Pay Table for that area. If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.  
BASIC REQUIREMENTS DATA SCIENTISTS: All candidates for Data Scientists must meet one of the following basic requirements.
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment. 

ADDITIONAL REQUIREMENTS TO QUALIFY AT THE GS-13 LEVEL:  
In addition to the Basic Requirements listed above, you must have one year of specialized experience equivalent to the GS-12 in the Federal service. Specialized experience is technical data analytics expertise in working with teams to develop data-driven solutions, products and definitions that address program and business challenges. This experience must include: Gathering and compiling data from a variety of business data systems; Consulting with diverse stakeholders and using analysis tools to design and implement data analyses; Using appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data; Translating data analyses into meaningful, easily understood communications; Conducting observational analyses using software and/or programming languages including R, Python, Microsoft Power BI, and SQL to explore/group data, test hypotheses, predict outcomes, and inform decisions; Developing automated data solutions (including dashboards and visualizations); and Providing input to management for decisions on an organization's enterprise data environment and/or data management practices.

Education:

Note: If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://www2.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html

Employment Type: OTHER

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