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Data Scientist Machine Learning Jobs in Kansas (NOW HIRING)

Nuvative Inc

Data Scientist

Wichita, KS · On-site

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 ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Design and implement statistical models, anomaly detection algorithms, and machine learning ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS

As a Manufacturing Data Scientist at TAMKO, you will be integral to executing the AI and data ... Develop and deploy machine learning, predictive analytics, and prescriptive analytics, including ...

Amgen

Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ... The Data Sciences professional we seek is an individual with these qualifications. Basic ...

Varsity Tutors

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Overland Park, KS · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Kansas

Data Scientist Machine Learning information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do data scientist machine learning jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data scientist machine learning 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 is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Kansas? The most popular types of Data Scientist Machine Learning jobs in Kansas are:
What are popular job titles related to Data Scientist Machine Learning jobs in Kansas? For Data Scientist Machine Learning jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Kansas look for? The top searched job categories for Data Scientist Machine Learning jobs in Kansas are:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning 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

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 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.