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Data Science Manager Jobs in Lenexa, KS (NOW HIRING)

Data Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

As a Data Product Manager , you will lead and inspire cross-functional teams in the creation and ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

Data Architect III

Kansas City, MO · On-site

$62.25 - $80/hr

Bachelor''s Degree in Computer Science, Management Information Systems, Business Administration ... Data Platform Engineering * Deploy and manage Databricks workspaces across multiple AWS ...

Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to ... Experience with structured database management systems * Experience with applying statistical ...

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to ... Experience with structured database management systems * Experience with applying statistical ...

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Data Science Manager information

See Lenexa, KS salary details

$28.8K

$90.4K

$160K

How much do data science manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science manager in Lenexa, KS is $90,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $116,800.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Lenexa, KS? The most popular types of Data Science jobs in Lenexa, KS are:
What job categories do people searching Data Science Manager jobs in Lenexa, KS look for? The top searched job categories for Data Science Manager jobs in Lenexa, KS are:
What cities near Lenexa, KS are hiring for Data Science Manager jobs? Cities near Lenexa, KS with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Lenexa, KS as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $90,380 per year, or $43.5 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 4 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