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Data Science Jobs in Kansas (NOW HIRING)

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. * Ensure the scalability, reliability, and performance of data systems.

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. * Ensure the scalability, reliability, and performance of data systems.

Bachelor's degree in Information Systems, Statistics, Data Science, or related fields * Minimum of 3 years' experience in business or data analysis roles; experience in product management or business ...

Data Engineer

Leawood, KS · Hybrid

$111K - $133K/yr

Prepares data for various business use cases including data science, prescriptive and predictive modeling. * Collaborates with the data architect to build and maintain the data systems specified by ...

Bachelor's degree in Information Systems, Statistics, Data Science, or related fields * Minimum of 3 years' experience in business or data analysis roles; experience in product management or business ...

Data Engineer-IT

Wichita, KS

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Data Engineer-IT

Wichita, KS

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Experienced/Senior Data Scientist Company: Boeing Distribution, Inc. Boeing Global Services, Distribution Business, is looking for a dynamic Experienced/Senior Data Scientist to join our team in ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Support early analytics, BI, and data science use cases. * Guide teams on Databricks best practices. * Maintain data architecture roadmaps and priorities. * Balance short‑term delivery with ...

Experienced/Senior Data Scientist Company: Boeing Distribution, Inc. Boeing Global Services, Distribution Business, is looking for a dynamic Experienced/Senior Data Scientist to join our team in ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Support early analytics, BI, and data science use cases. * Guide teams on Databricks best practices. * Maintain data architecture roadmaps and priorities. * Balance short-term delivery with long-term ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Support early analytics, BI, and data science use cases. * Guide teams on Databricks best practices. * Maintain data architecture roadmaps and priorities. * Balance shortterm delivery with longterm ...

$98K - $118K/yr

Minimum 5+ years working in Data Science. * We expect you to have a passion and experience in shipping and maintaining production software products. * You must have strong verbal and written skills.

Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making. * Other duties as needed.

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects * 4 ...

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Showing results 1-20

Data Science information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do data science jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data science in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
What are popular job titles related to Data Science jobs in Kansas? For Data Science jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Science jobs? Cities in Kansas with the most Data Science job openings:
Infographic showing various Data Science job openings in Kansas as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.
Data Engineer II

Data Engineer II

Propio

Overland Park, KS • On-site

$107K - $129K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Propio rating

7.7

Company rating: 7.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

136th of 428 rated business services


Job description

Description:


Propio Language Services is transforming communication by developing tools and technologies that make it easier and more efficient for clients to engage with the Limited English Proficiency Population to improve access to healthcare and essential services in social services, education, legal and many others.


The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability to collaborate with cross-functional teams to support data-driven decision-making processes.


Key Responsibilities:

  • Design, implement, and optimize data pipelines for efficient data processing and analysis.
  • Develop and maintain ETL (Extract, Transform, Load) processes to ensure data accuracy and availability.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure the scalability, reliability, and performance of data systems.
  • Implement and maintain data security and privacy measures.
  • Troubleshoot and resolve data-related issues and anomalies.
  • Continuously improve and document data engineering processes and best practices.
  • Act as a subject matter expert and strategic advisor on data-related initiatives, ensuring alignment with organizational objectives
  • Perform ad hoc data analytics and reporting to meet emergent business requirements.
  • Develop and optimize complex SQL queries and stored procedures for data extraction and modeling.
  • Build custom automated paginated reports using SSRS (SQL Server Reporting Services).
Requirements:


Qualifications:

  • Bachelor’s Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; or equivalent work experience.
  • 3+ years of experience in a comparable data engineering role.
  • Proven experience with designing and building scalable data pipelines and ETL processes.
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
  • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
  • Strong programming skills in languages such as Python or Scala.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Familiarity with data warehousing solutions (e.g., Databricks).
  • Knowledge of data modeling, data warehousing, and data lake concepts.


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