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Data Analyst Data Science Jobs in Kansas (NOW HIRING)

WellSky

Data Scientist

Overland Park, KS · On-site

... analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ... The role blends applied data science, large language model (LLM) evaluation, and platform ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

... analysis-ready assets that power Life Sciences and RWE use cases. Working within the internal data ... The role blends applied data science, large language model (LLM) evaluation, and platform ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS · On-site

... Data Science, Statistics, or a related field. * 4 to 10 years of related work experience and/or training, or an equivalent combination of education and experience. * Strong analytical skills and ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

The role blends applied data science, large language model (LLM) evaluation, prompt and workflow ... mode analysis, and ongoing quality monitoring. * Rapidly prototype and test approaches, using ...

WellSky

Data Scientist

Overland Park, KS · On-site

The role blends applied data science, large language model (LLM) evaluation, prompt and workflow ... mode analysis, and ongoing quality monitoring. * Rapidly prototype and test approaches, using ...

Emprise Bank 2

Data Engineer

Wichita, KS

$102K - $123K/yr

You will be responsible for designing, developing, and deploying data pipelines to ensure the smooth flow of clean, consistent, and high-quality data to our data scientists, analysts, and other ...

New

Emprise Bank

Data Engineer

Wichita, KS · On-site

$113K - $135K/yr

You will be responsible for designing, developing, and deploying data pipelines to ensure the smooth flow of clean, consistent, and high-quality data to our data scientists, analysts, and other ...

New

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Data Analyst Data Science information

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$12

$34

$58

How much do data analyst data science jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data analyst data science in Kansas is $34.20, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $41.44 per hour, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
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Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Kansas as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $71,131 per year, or $34.2 per hour.
Data Scientist

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

WellSky rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

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 platform team, this role designs and evaluates AI and agent-based methods to extract clinical meaning from free-text sources (for example, deriving patient clinical statuses from notes and mapping free-text diagnoses to standardized code sets such as ICD-10), rigorously measures the quality of those outputs, and builds agentic tooling that lets users query data and generate dashboards through natural language. The role blends applied data science, large language model (LLM) evaluation, and platform engineering to make high-value insights accessible and trustworthy at scale.
Key Responsibilities:
  • Design and build methods to standardize unstructured healthcare data, including extracting clinical statuses and other structured attributes from free-text clinical notes and mapping free-text diagnoses to standardized terminologies such as ICD-10.
  • Develop, prompt, and orchestrate LLM- and agent-based pipelines to perform extraction, normalization, and enrichment tasks against diverse and messy source documents.
  • Define and implement rigorous evaluation frameworks to measure agent and model performance on these tasks, including gold-standard datasets, accuracy and error-mode analysis, and ongoing monitoring of output quality.
  • Build and maintain an agentic harness that enables users to query data and generate dashboards through natural language (an internal analog to agentic analysis tools such as Claude Cowork for our data).
  • Partner with data platform, engineering, and Life Sciences stakeholders to translate business use cases into technical requirements and analysis-ready data products.
  • Continuously monitor and improve the accuracy, quality, and efficiency of data extraction, standardization, and downstream analytics.
  • Contribute to responsible AI practices, including appropriate handling and de-identification of sensitive healthcare data.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's degree in a related field or equivalent work experience
  • 2 - 4 years related work experience

Preferred Qualifications:
  • Healthcare industry experience, especially with Healthcare data in post-acute care.
  • Experience applying large language models and/or agentic frameworks to real-world data extraction or transformation tasks.
  • Experience with clinical terminologies and coding systems (e.g., ICD-10, SNOMED CT, LOINC) and with natural language processing on clinical or biomedical text.
  • Familiarity with Life Sciences or Real-World Data / Real-World Evidence (RWD/RWE) use cases.
  • Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, annotation, error analysis).
  • Proficiency in Python and SQL, and experience working within a modern data platform or cloud environment.
  • Experience building data applications and pipelines.

Job Expectations:
  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

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WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

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