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Director Of Data Science Jobs in Kansas (NOW HIRING)

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Director of Data Engineering We are seeking an experienced Director of Data Engineering responsible ... Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience * 8+ ...

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping ... Stay current with the latest developments in data science and apply best practices to solve ...

Miamioh

Director, Business Intelligence Team

Hoyt, KS

$155K/yr

... in Data Science, Statistics, Computer Science, or a related field earned by date of hire * AND ... AND direct experience leading direct reports and functional teams * AND leading an institution ...

WellSky

Data Scientist

Overland Park, KS · On-site

... 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 ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

... 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 ...

Autodesk

$159K - $285K/yr

... Director of Growth and Data Science in the Experience Foundations organization. This is a founding data science role for our agentic product platform - a next-generation framework that combines ...

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All JobsOf Data Science JobsDirector Of Data Science JobsDirector Of Data Science Jobs in Kansas

Director Of Data Science information

See Kansas salary details

$48.2K

$138.1K

$217.6K

How much do director of data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for director of data science in Kansas is $138,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $169,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director of data science, and why are they important?

A Director of Data Science needs advanced expertise in statistical analysis, machine learning, and data strategy, typically supported by a graduate degree in a quantitative field and significant industry experience. Familiarity with big data platforms (e.g., Hadoop, Spark), programming languages (Python, R), and cloud-based analytics tools, as well as experience managing data science teams, is essential. Strong leadership, communication, and business acumen are key soft skills for aligning technical work with organizational goals and influencing stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the strategic impact of data science initiatives within the organization.

What does a director of data science do?

A director of data science oversees data science teams, develops strategies for data analysis and modeling, and ensures projects align with business goals. They often manage data infrastructure, collaborate with other departments, and require strong skills in statistics, machine learning, and leadership. The role typically involves setting priorities, managing resources, and communicating insights to stakeholders.

What are some common challenges faced by a director of data science when leading cross-functional teams?

As a Director of Data Science, one of the key challenges is aligning the goals of data science teams with those of product, engineering, and business stakeholders. This often involves translating complex technical findings into actionable insights that non-technical colleagues can understand and use. Additionally, managing resource allocation and prioritizing projects across multiple departments can be demanding, especially in fast-paced environments. Building a collaborative culture and fostering open communication are crucial for overcoming these challenges and ensuring data-driven strategies deliver business value.

What is the difference between Director Of Data Science vs Data Scientist?

AspectDirector Of Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic planning, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, tech firms, research institutions, various industries

The main difference between a Director Of Data Science and a Data Scientist lies in their scope of responsibilities. The Director oversees strategic initiatives, manages teams, and aligns data projects with business goals, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but the Director's role emphasizes leadership and strategic planning.

What are the most commonly searched types of Of Data Science jobs in Kansas?

The most popular types of Of Data Science jobs in Kansas are:

What cities in Kansas are hiring for Director Of Data Science jobs?

Cities in Kansas with the most Director Of Data Science job openings:

Director Of Data Science jobs near you
Infographic showing various Director Of Data Science job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $138,123 per year, or $66.4 per hour.

Data Scientist - Biostatistics & Data Science

University of Kansas Medical Center

Kansas City, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Department:
SOM Department of Biostatistics
Data ScientistPosition Title:
Data Scientist - Biostatistics & Data ScienceJob Family Group:
Professional StaffJob Description Summary:
The Data Scientist will perform basic to intermediate-level data management including data cleaning, data entry, and report generation; participate in project meetings with collaborators; meet with end users for an in-depth understanding of informatics needs and requirements for a broad range of projects; train employees on the use of business intelligence (BI) applications; and assist with the preparation of written reports, manuscripts, and grant applications with investigators under the supervision of a Biostatistics & Data Science member. This individual will play a key role with Environmental influences on Child Health Outcomes (ECHO), IDeA States Pediatric Clinical Trials Network (ISPCTN), and Data Coordinating and Operations Center (DCOC) housed within the Department of Biostatistics & Data Science in ensuring high-quality data management across multi-site clinical trials. This position will serve as the primary point of contact between the DCOC and the participating ISPCTN sites for all data-related activities.Job Description:
Job Duties
  • Serve as the primary data management liaison with ISPCTN clinical sites.
  • Respond to site inquiries and provide timely resolution for data-related issues, including electronic data capture (EDC) access, data entry, and query management.
  • Lead the development and maintenance of study-specific data dictionaries and case report forms (CRFs), ensuring alignment with protocol requirements and standardized data elements.
  • Coordinate with stakeholders to incorporate feedback and maintain consistency across studies.
  • Develop and maintain standard operating procedures (SOPs) and workflows related to data management, EDC use, and site communication.
  • Ensure SOPs are current, aligned with best practices, and implemented across the consortium.
  • Create reports in CRIS Velos and/or Redcap under the supervisor of the Assistant Director of Data Science.
  • Create electronic case report forms (eCRFs).
  • Develop applications to enhance business decision-making capabilities.
  • Analyze existing databases, reports, and processes for opportunities to automate further or simplify utilizing BI tools.
  • Analyze data within various databases utilizing various BI tools and reporting tools to inform business decisions and actions.
  • Write database documentation, including data standards, procedures, and definitions for the data dictionary.
  • Train pertinent staff and other end-users as needed on BI applications, and train other BI specialists on various BI tools.
  • Troubleshoot user issues with BI applications.
  • Ensure research data systems and data management activities comply with applicable federal regulations, Good Clinical Practice guidelines, institutional policies, and other regulatory requirements.
  • Assist the Director of Research IT with system administration, security, maintenance, and operational oversight of research data systems.
  • Support the preparation of reports, manuscripts, and grant applications for investigators under the supervision of Assistant Director of Data Science.
  • Develop and maintain Python and R pipelines for data cleaning, preprocessing, and structuring.
  • Build and update Shiny applications to facilitate interactive data visualization and reporting.
  • Develop pipelines for imaging data harmonization, feature extraction, and quality assurance.
  • Collaborate with neuroimaging investigators to integrate imaging-derived biomarkers with clinical and behavioral datasets.
  • Support reproducible research by maintaining version-controlled analytic workflows and adhering to FAIR data principles.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities, and activities may change at any time with or without notice.
Required Qualifications
Work Experience:
  • Four (4) years of experience in Computer Science , Information Technology, Statistics, Mathematics or related field. Relevant education may be substituted for experience on a year-for-year basis.
  • Experience with troubleshooting data-related issues.
  • Experience working in a Windows environment.
  • Experience in Relational databases.
  • Experience in creating, conducting training, or documenting Metadata, such as data dictionaries that are utilized for research.

Preferred Qualifications
Education: Bachelor's Degree in Computer Science, Information Technology, Statistics, or Mathematics.
Work Experience:
  • Two (2) years of experience in academic or private health-related research environments.
  • Experience programming in at least one higher-level language (C, C++, Java).
  • Experience with software integration, such as LDAP and Active Directory. PL/SQL, SQL functions, triggers, complex queries, SQL reports.
  • Experience working with relational databases such as Oracle, MySQL, SQL Server, and Business Intelligence tools.
  • Experience with database migration, database development, database maintenance, performance tuning, optimization, or setting up and managing database connections.
  • Experience with the automation of the ETL process between databases.
  • Experience working in a LINUX/UNIX environment.

Skills
  • Communication skills
  • Customer service skills
  • Problem-solving
  • Process and improvement skills.
  • Microsoft Office
  • Tableau
  • R
  • Python
  • SAS

Required Documents
  • Resume/CV
  • Cover Letter

Comprehensive Benefits Package:
Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
RegularTime Type:
Full timeRate Type:
Salary
Compensation Statement:
The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.
Pay Range:
$70,200.00 - $105,300.00
Minimum
$70,200.00
Midpoint
$87,700.00
Maximum
$105,300.00

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