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

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

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

$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 ...

Jobtailor

Data Scientist

Dearborn, MO · On-site

$90 - $140/hr

Bachelor's degree in Computer Science, Economics, Analytics, Business, Strategy, Finance ... Data Modeling * Python Programming * SQL Database Language * Microsoft Excel ATS Optimization ...

New

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational ... Proficiency in Python, R, Snowflake ML for statistical analysis and model development * Experience ...

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

The role blends applied data science, large language model (LLM) evaluation, prompt and workflow ... Proficiency in Python, and experience prototyping and iterating quickly alongside a product team.

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

Python Data Science information

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How much do python data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python data science in Kansas City, MO is $57.20, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 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.

Senior Data Scientist - AI Specialist

Jobtailor

Dearborn, MO • On-site

$140 - $190/hr

Other

Posted 14 days ago

Job description

Responsibilities
  • As a Senior Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals.
  • You will collaborate with Data Engineers and Software Engineers to develop robust analytics products.
  • You will collaborate with partners in purchasing, product development, manufacturing, warranty, material planning, logistics and other Ford functions to define problems, identify data, develop data pipelines, develop metrics, develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization, create machine learning models, leverage operations research techniques, and deploy software solutions to provide actionable insights that deliver measurable via Google Cloud Platform to optimize the delivery of value.
  • Designing, training, and fine‑tuning AI models (including deep learning and LLMs) to solve specific business problems.
  • Familiar with LLM orchestration workflows like Langraph and Google ADK for quick development and scaling strategies to build robust pipelines.
  • Familiar with AI Graph DB platform, use native graph query and conduct LLM extraction into actionable insights.
  • Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
  • Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
  • Working with data scientists to define AI strategies, understand requirements, and implement solutions.
  • Testing, validating, and monitoring AI models in production scale to ensure reliability.
  • Staying current with AI advancements (e.g., generative AI, LLMs) and applying them to improve existing products.
  • Accelerate the application of value‑added analytics and machine learning into the portfolio of products for the supplier risk team.
  • Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine‑learning methods.
  • Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
  • Act as a consultant to the business vs. an order taker.
Requirements
  • Master’s degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, or Computer Science or equivalent combination of relevant education and experience.
  • 5+ years of hands‑on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis, capable of using at least three of the following visualization/dashboard tools: Angular, React, Tableau, Looker, PowerBI.
  • 3+ years of experience delivering analytics solutions.
  • 3+ years of experience with Agile team methodology.
  • PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field.
  • Proven experience with developing data products/solutions to support analytic applications in Ford’s data ecosystem.
  • Experience with Neo4j development or related graph DB.
  • Experience with Product‑Driven Operating Model or Agile Product Development Process.
  • Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users.
  • Comfortable working in an environment where problems are not always well‑defined.
  • Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner.
  • Well‑organized, independent, and ready to work with minimal supervision.
  • Inquisitive, proactive, and interested in learning new tools and techniques.
  • Demonstrated hands‑on experience with deploying data products and/or analytic models in Ford’s on‑prem and/or Google Cloud Platform.
  • Demonstrated experience translating real‑world business problems into analytical formulations and interpreting analytics results with non‑analytics business partners.
  • Work experience in automotive industry is a big plus, as is experience in procurement, logistics, or program management function.
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