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Data Scientist Machine Learning Jobs in Kansas (NOW HIRING)

Key Responsibilities The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation ...

Data Scientist

Overland Park, KS Β· On-site

$50 - $55/hr

# Only on W2 DATA SCIENTIST Location: Overland park, Kansas Exp: 6-7+ Duration: Long term Job Summary ... You will be responsible for building predictive models, developing machine learning algorithms, and ...

Data Scientists drive strategic initiatives by performing advanced analytics, predictive modeling, and machine learning on complex internal and external datasets. They leverage advanced mathematics ...

Data Scientists drive strategic initiatives by performing advanced analytics, predictive modeling, and machine learning on complex internal and external datasets. They leverage advanced mathematics ...

Data Scientists drive strategic initiatives by performing advanced analytics, predictive modeling, and machine learning on complex internal and external datasets. They leverage advanced mathematics ...

New

Data Scientists drive strategic initiatives by performing advanced analytics, predictive modeling, and machine learning on complex internal and external datasets. They leverage advanced mathematics ...

New

Sr Data & AI Scientist Category: Data & BI Analytics Req ID: 1295 Date: Aug 20, 2026 Location ... Design, build, and refresh machine learning and AI models: conduct experiments and proof-of-concept ...

Sr Data & AI Scientist

Leawood, KS Β· On-site +1

$151K - $215K/yr

Design, build, and refresh machine learning and AI models: conduct experiments and proof-of-concept ... Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn ...

Overview We are seeking a full‑time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Design, implement, and refine predictive models using machine learning and statistical ...

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... Develop supervised and unsupervised machine learning solutions, including classification ...

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Showing results 1-20

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 Sep 15, 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?

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 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.

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.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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:

Infographic showing various Data Scientist Machine Learning job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.

Senior Data Scientist

On-site

Full-time

Posted 18 days ago


Key responsibilities

  • Collaborate with business partners to define technical problem statements and develop analytical models that address healthcare industry challenges.

  • Design, prototype, and build advanced analytics engines and data products using machine learning, AI, and Generative AI techniques.

  • Integrate machine learning outputs into applications and tools, ensuring models are scalable, interpretable, and seamlessly incorporated into data products.


Job description

Make a difference. Be happy. Grow your career.

The Role

Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic's maxims and mission to serve our customers who care so well for us.

Key Responsibilities

The Senior Data Scientist applies strong expertise in machine learning, data science, and other artificial intelligence techniques to design, prototype and build next generation advanced analytics engines and services to solve complex healthcare industry problems. The Senior Data scientist should also have awareness about Gen AI & Agentic AI concepts and have a point of view on how traditional data science workflows can evolve harnessing the power of Generative AI & Agentic AI. The data scientist collaborates with business partners (clinicians / supply chain / HR across healthcare organizations) to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team.
Essential Job Functions

  • Collaborates with business partners to develop novel ways to meet business objectives utilizing machine learning and AI techniques and tools.

  • Effectively communicates the data science / machine learning approach and how it will meet and address objectives to business partners.

  • Advocates and educates business partners on the machine learning process and reasoning for solving problems with data-driven decision making.

  • Leads analytic approaches to integrate machine learning output into applications and tools with data engineers, business leads, analysts, and developers.

  • Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products.

  • Engineers features by using business acumen (including healthcare industry knowledge) to find new ways to combine disparate internal and external data sources.

  • Identifies and develops scalable processes, frameworks, tools, methods and standards.

  • Collaborates and learns with a growing team of experienced data scientists.

  • Stays connected with external sources of ideas through conferences and community engagements.

Skills and Experience
  • Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.

  • Experience building end to end data science / machine learning solutions that have delivered tangible business value (required)

  • Strong communication and stakeholder management skills (required)

  • Masters, Data Science, Computer Science, Engineering, or Statistics (preferred)

  • Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred)

  • Experience working in Healthcare industry (preferred)

  • Understanding of EPIC data model (preferred)

Minimum Years of Experience
  • 8+ years' experience in a data science role (required)

  • 8+ years' experience in a data engineering, analyst, or architecture role (required)

Other Knowledge, Skills and Abilities Required
  • Machine learning concepts and principles

  • Good grasp of Generative AI and Agentic AI concepts

  • Strong communication skills

  • Python coding

  • SQL, Databricks

  • Understanding of machine learning operations

  • Attention to detail

  • Ability to work with technical and non-technical stakeholders

  • Requirements translation

  • Agile work process

  • Continuous learner

Candidates located in the United States or Canada are encouraged to apply!

Applicants must be legally eligible to work in their respective country without current or future sponsorship requirements.

#LI-JD1

Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.