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Director Of Data Science Jobs in Kansas (NOW HIRING)

Garmin International, Inc.

Data Scientist 2

Olathe, KS · On-site

Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance * Support integration of models into production systems by coordinating ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

You'll build the pipelines and data foundations that provide line of sight into product health, adoption, and performance turning raw, messy data into clean, usable datasets that data scientists ...

Reply

Manager, Data Engineering

Kansas City, KS · On-site

Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs * Providing leadership, coaching, and ...

Holton Community Hospital

Director of Nursing

Holton, KS · On-site

Director of Nursing Full Time | Salary Exempt Position Routine Work Schedule: Monday-Friday, 8:00 a ... Bachelor of Science in Nursing (BSN) degree or higher. * Minimum of five years of clinical nursing ...

Colby Health and Rehab

Director of Nursing

Colby, KS · On-site

$95K - $115K/yr

DIRECTOR OF NURSING This Director of Nursing position earns a salary of $95,000 to $115,000 per ... Track, trend and report clinical quality data to identify risk. Lead clinical quality and process ...

Mission Health

Director of Nursing

Colby, KS · On-site

$115K/yr

DIRECTOR OF NURSING This Director of Nursing position earns a salary of $95,000 to $115,000 per ... Track, trend and report clinical quality data to identify risk. Lead clinical quality and process ...

Argenta

Director of Quality

Shawnee, KS · On-site

Develop and implement quality strategies that ensure scientific integrity, regulatory compliance ... Experience conducting study data audits * Experience auditing study reports (Final Study Reports ...

Argenta

Director of Quality

Shawnee, KS · On-site

Develop and implement quality strategies that ensure scientific integrity, regulatory compliance ... Experience conducting study data audits * Experience auditing study reports (Final Study Reports ...

Argenta

Director of Quality

Shawnee, KS · On-site

Develop and implement quality strategies that ensure scientific integrity, regulatory compliance ... Experience conducting study data audits * Experience auditing study reports (Final Study Reports ...

Actalent

Director Of Construction

Lenexa, KS · On-site

$120K - $140K/yr

Director of Construction The Director of Construction will lead and scale the company's commercial ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

PTM World

Director of Engineering

Topeka, KS · On-site

Manage project scope, project schedules, project costs using appropriate data collection and ... Experience in designing metal enclosures or metal parts is preferred, construction science also ...

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Showing results 41-60

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 Sep 2, 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 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 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 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 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 the implementation of data-driven solutions to support business goals. They often manage projects, collaborate with other departments, and have expertise in statistical methods, machine learning, and data management tools. Strong leadership, communication skills, and experience with programming languages like Python or R are essential for this role.

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, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $138,123 per year, or $66.4 per hour.

Data Scientist 2

Garmin International, Inc.

Olathe, KS • On-site

Full-time

Re-posted 14 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 159 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.
Essential Functions
  • Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
  • Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
  • Design, implement, and refine predictive models using machine learning and statistical methodologies
  • Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
  • Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
  • Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
  • Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
  • Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
  • Create and present compelling data visualizations and reports using advanced graphics and visualization tools
  • Identify and leverage both internal and external datasets to drive innovation and support business solutions
  • Contribute to the development of custom machine learning models and algorithms across diverse datasets
  • Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
  • Support the definition of project scope and business expectations based on data-driven insights
  • Provide mentorship and share best practices with junior team members under the guidance of senior staff
  • Participate in peer reviews and contribute to the continuous improvement of team processes
  • Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
  • Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
  • Experience using systems such as SQL, Python, or R
  • Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Demonstrated understanding of advanced descriptive and inferential statistics
  • Demonstrates expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others
  • Driven problem solver with proven success in solving difficult problems
  • Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications
  • Experience with structured database management systems
  • Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
  • Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
  • Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
  • Understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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