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Data Scientist Jobs in Kansas (NOW HIRING)

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

The Data Scientist is responsible for turning unstructured healthcare data into standardized, analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist role focuses on turning clinical conversations into accurate, useful documentation, with deep emphasis on building and evaluating the model and agent workflows (the "harness") that ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

The Data Scientist role focuses on turning clinical conversations into accurate, useful documentation, with deep emphasis on building and evaluating the model and agent workflows (the "harness") that ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist role focuses on turning clinical conversations into accurate, useful documentation, emphasizing model evaluation and workflow engineering to ensure reliable solutions.

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data-driven analytics strategies that perfect the quality, safety, and productivity of our manufacturing ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

WHAT YOU'LL DO As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the analytical engine behind Ascend Learning's test security function - building the models, reports, and ...

Autodesk

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the Experience Foundations organization. This is a founding data science role for our agentic product ...

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All JobsData Scientist JobsData Scientist Jobs in Kansas

Data Scientist information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data scientist 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Kansas? The most popular types of Data Scientist jobs in Kansas are:
What are popular job titles related to Data Scientist jobs in Kansas? For Data Scientist jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Kansas look for? The top searched job categories for Data Scientist jobs in Kansas are:
What cities in Kansas are hiring for Data Scientist jobs? Cities in Kansas with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in KS? For Data Scientist jobs in KS, the most frequently searched job titles are:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.
Data Scientist

Data Scientist

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

DEPARTMENT: Analytics

JOB TITLE: Data Scientist

REPORTS TO: Director of Analytics


WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful employees. To recruit and retain top-notch talent, we consciously work to make and keep Nuvative an employer of choice. We provide our employees with a culture of kindness, fairness, learning and development, contribution, collaboration, diversity, innovative and fun.

JOB PURPOSE: A Data Scientist at Nuvative, Inc. will have a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. As a Data Scientist at Nuvative, Inc., you will play a key role in analyzing large datasets, developing predictive models, and providing actionable insights to improve our products and services. The Data Scientist also works closely with the other Data Scientists on analysis and prediction of trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives.

ESSENTIAL EXPERIENCE, DUTIES and RESPONSIBILITIES

Data Scientist

RESPONSIBILITIES

  • Analyze large, complex datasets to identify trends, patterns, and insights.
  • Develop predictive models to forecast customer behavior and optimize business outcomes.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.
  • Turn data into insight: segment, cluster, model and mine to better understand behaviors, trends, & performance shortfalls.
  • Find, clean, and integrate data into usable and helpful information.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay current with the latest developments in data science and apply best practices to solve business challenges.
  • Contribute using SQL and Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Identify gaps in current data systems, drive and contribute to development of systems to bridge gap.
  • Plans and executes ongoing strategies including maximization of technologies and processes.
  • Responding with urgency to high priority requests from senior business leaders.
  • Take initiative to make things better and provide solutions for challenges.
  • Anticipate operational needs based on volume/expansion and make recommendations.
  • Drive change – produce clear, understandable visualizations and reports to share with Senior Management.
  • Any other duties as assigned.

QUALIFICATIONS

  • BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred).
  • In depth knowledge and understanding of finance and loan underwriting desired.
  • Background in data mining, machine learning, statistical analysis, and modeling.
  • Strong SQL abilities and experience with massive relational database systems.
  • Programming skills in R or Python and experience with related machine learning packages.
  • Proven track record of assisting business decisions with accurate data and analysis.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

COMPETENCIES

  • Ability to produce significant output with minimal waste of effort.
  • Plans, organizes, and schedules time in an efficient, productive manner.
  • Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
  • Not allowing crucial details to slip through the cracks or derail a project.
  • Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
  • Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences.
  • A decisive individual with excellent organizational skills and the ability to multi-task effectively

WHY WORK FOR US: At Nuvative, you’ll find an environment where our team is the core of what we do and good work is rewarded and growth is valued. Nuvative offers competitive wages to qualified individuals and the opportunity to grow professionally and personally through diverse work experiences and hands on training. The heart of our employee culture are the values that we not only preach, but also practice everyday:

  • Initiative: Handling opportunities with confidence and enthusiasm.
  • Persistence: Moving forward in the face of adversity.
  • Teamwork: Uniting the combined effort of our organization.
  • Respect: Considering the feelings of others in your action.
  • Integrity: Maintaining honesty and strong principles.
  • Innovation: Inspiring progress with results and ingenuity.


WHAT WE CAN OFFER YOU:

  • Medical, Dental and Vision insurance.
  • Flexible Spending Account- Health & Dependent Care available
  • 401(k)- with employer match
  • Voluntary Life Insurance and AD&D
  • Paid time off
  • Holidays
  • Paid Parental leave (after a year)
  • Monthly Company Paid lunch


The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.