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

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

Bachelor's degree in statistics, mathematics, economics, data science, or a related field. * 3+ ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

Bachelor's degree in computer science, data science or related technical field, or equivalent ... Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce) * Experience ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Develops data transformations and curated datasets using SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI / machine learning use cases. * Creates and ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Bachelor's degree in computer science, data science or related STEM subject. * Significant ... Robust experience using both SQL and Python for data cleaning, engineering, transformation and ...

... Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Highly motivated, self-learner, and technically inquisitive. Knowledge of statistics, Python, and data ...

... Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Highly motivated, self-learner, and technically inquisitive. Knowledge of statistics, Python, and data ...

Bachelor's degree in data science or related STEM subject. * Experience using SQL and Python and/or R for data management and analysis. * Previous experience working with Tableau or other equivalent ...

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience * 8+ ... Python for data processing, automation, or analytics * Familiarity with .NET-based application ...

Data Analyst

Kansas City, KS · On-site

$65 - $100/hr

Education & Experience Bachelor's degree in data science or related STEM subject. Experience using SQL and Python and/or R for data management and analysis. Previous experience working with Tableau ...

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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 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:

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 Analyst

ResolveSoft Inc

Kansas City, MO • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Position: Data Analyst

Location: Onsite, Kansas City, MO
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.