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

Cliftonlarsonallen

Data Analyst Senior

Kansas City, MO · On-site +1

$83K - $105K/yr

... Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. #LI ...

NinjaOne

Data Software Engineer

Kansas, KS · On-site +1

... data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python * Proficiency in cloud platforms like AWS, GCP, or Azure, and ...

Propio

AI Engineer

Leawood, KS

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Strong hands-on experience with Python, SQL, and dataset curation pipelines. * Experience with ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Strong hands-on experience with Python, SQL, and dataset curation pipelines. * Experience with ...

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Strong hands-on experience with Python, SQL, and dataset curation pipelines. * Experience with ...

Deloitte

AI Engineer - SFL Scientific

Kansas City, MO · On-site

... modern data architecture, data science engineering, data transformation, and management of ... CLI, Python, SQL, PowerShell, etc. • 2+ years of experience in DevOps and leveraging CI/CD ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

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 ...

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

... data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python. * Expertise in Python. * Experience in cloud platforms like AWS ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

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

Helzberg

Data Engineering Team Lead

Kansas City, MO · On-site

Collaborate closely with Analytics, Data Science, Product, and Business teams to translate business ... Proficiency in at least one programming language commonly used in data engineering (e.g., Python ...

Deloitte

Senior AI Engineer - SFL Scientific

Kansas City, MO · On-site

$101K - $139K/yr

... modern data architecture, data science engineering, data transformation, and management of ... Linux Shell/CLI, Python, SQL, PowerShell, etc. • 2+ years of experience managing teams in ...

People, Data & Solutions

Data Engineer

Overland Park, KS · On-site

$120/hr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... Exposure to Python or PowerShell for data transformation or automation. * Experience integrating ...

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How much do python data science jobs pay per hour?

As of Jun 26, 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 are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

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.

What are typical day-to-day responsibilities in a Python Data Science role?

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 is a Python Data Science job?

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 data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and programming. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in Kansas City, MO? The most popular types of Python Data Science jobs in Kansas City, MO are:
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 June 2026, with employment types broken down into 3% As Needed, 52% Full Time, 40% Part Time, 3% Contract, and 2% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,985 per year, or $57.2 per hour.
Data Analyst Senior

Data Analyst Senior

Cliftonlarsonallen

Kansas City, MO • On-site, Remote

$83K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

CliftonLarsonAllen rating

7.2

Company rating: 7.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

16th of 17 rated bookkeepers and accountants

Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

About the role:

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite tools are the Power Platform (Power Apps/Power BI/Power Automate), Excel, DAX, M, R, and Alteryx. In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As a Data Analyst Senior, you will:

Service Specialization: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.

Data Analysis: Participate in the collection and analysis of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Data Development: Working under the guidance of Data Analytics team leaders to develop custom data models and algorithms to apply to data sets. Develop predictive analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members.

Collaboration: Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.

What you will need:

Experience

Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree. Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred.

#LI-RC1


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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

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Benefits

Hours and flexibility

Workplace

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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