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Senior Computer Data Scientist Jobs in Kansas (NOW HIRING)

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational ... senior leadership * Strong business acumen with the ability to prioritize analytical work by impact ...

Amgen

Sr. Data Scientist - Process Modeling

Wichita, KS · On-site

As a Sr. Data Scientist, you will evaluate and improve Amgen's digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The position ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent ... Responding with urgency to high priority requests from senior business leaders. * Take initiative ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent ... Responding with urgency to high priority requests from senior business leaders. * Take initiative ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist is responsible for turning unstructured healthcare data into standardized ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

Autodesk

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the Experience Foundations organization. This is a founding data science role for our agentic product ...

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

The Data Scientist is responsible for turning unstructured healthcare data into standardized ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

WellSky

Data Scientist

Overland Park, KS · On-site

$2.5K/yr

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

WellSky

Data Scientist

Overland Park, KS · On-site

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS · On-site

Bachelor's degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics, or a related field. * 4 to 10 years of related work experience and/or training, or an equivalent ...

StackAdapt

Want to learn more about our Data Science Team: Learn more about our team culture here: Watch our ... Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related ...

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Senior Computer Data Scientist information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Machine Learning Director, with salaries exceeding $150,000 annually. These roles typically require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies based on industry, location, and company size.

Is 40 too late for data science?

Age is not a barrier to becoming a senior computer data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Success depends on your ability to adapt and build a strong portfolio of projects and certifications regardless of age.

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

How much does a senior data scientist earn?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, programming, and data analysis tools can influence salary levels.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.
What cities in Kansas are hiring for Senior Computer Data Scientist jobs? Cities in Kansas with the most Senior Computer Data Scientist job openings:
Senior Computer Data Scientist jobs near you
Infographic showing various Senior Computer Data Scientist job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Garmin International, Inc.

Olathe, KS • On-site

Full-time

Posted 27 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

9th of 142 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Senior Data Scientist at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for providing technical leadership and strategic project planning for data science initiatives related to new products, applications, or systems within the company. This role involves leveraging advanced data science techniques to drive innovation and deliver actionable insights that support business objectives. The Senior Data Scientist will collaborate with cross-functional teams, mentor junior data scientists and/or software engineers, and ensure the successful implementation and integration of data-driven solutions.
Essential Functions
  • Lead the design, development, and deployment of advanced AI/ML models and algorithms to solve complex business problems
  • Develop and integrate the AI agents/solutions seamlessly with existing Contract Management Systems (CMS) and document repositories.
  • Lead the design and implementation of end-to-end Retrieval-Augmented Generation (RAG) pipelines to ground LLMs with up-to-date and authoritative external data.
  • Manage the entire data flow for RAG, including document chunking, metadata management, and generating high-quality vector embeddings using state-of-the-art embedding models.
  • Evaluate, select, and manage vector databases (e.g., Pinecone, Weaviate, Qdrant) and indexing techniques (e.g., HNSW) to ensure fast and accurate semantic search and retrieval.
  • Continuously iterate on the RAG components, including retrieval algorithms and prompt engineering strategies, to maximize the contextual relevance and quality of generated responses.
  • Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement
  • Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines
  • Collaborate with cross-functional teams, including engineering, legal, product management and business stakeholders, to define project requirements and deliver data-driven solutions
  • Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle
  • Evaluate and integrate new data science techniques, tools, and technologies to enhance the company's data capabilities
  • Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations
  • Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary
  • Champion best practices in data science, including data governance, model validation, and ethical AI considerations
  • Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency
  • Lead the development of custom machine learning models and algorithms tailored to specific business needs
  • Stay current with the latest advancements in data science, machine learning, and AI including LLMs, RAG frameworks (e.g., LangChain, LlamaIndex), and vector database technologies, and apply this knowledge to drive innovation within the company
  • Own team-level success by monitoring, modifying and creating team processes to help ensure consistency, continuity, efficiency and impact in analysis and ML pipelines
  • Mentor and guide junior team members, sharing best practices and providing constructive feedback
  • Pioneer peer reviews and foster a culture of continuous improvement and learning
  • Develop and enforce data governance policies and procedures to ensure data integrity and security
  • Monitor compliance with data privacy laws and regulations and implement measures to protect sensitive information

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 5 years of relevant experience OR an equivalent combination of education and relevant experience
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • Extensive experience using systems such as SQL, Python, or R
  • Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Proven hands-on experience in fine-tuning Large Language Models (LLMs) and deep understanding of their architectures (e.g., Transformers).
  • Strong experience designing and deploying RAG systems and building high-performance semantic search and retrieval pipelines.
  • Practical experience with vector embeddings and working with vector databases for production-grade applications.
  • Demonstrated 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
  • Advanced experience with structured database management systems and distributed computing
    Expertise in time series analysis, NLP, deep learning, or reinforcement learning
  • Leadership in MLOps, model deployment, and CI/CD for data science workflows
  • Advanced understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Proficiency with cloud platforms (e.g. AWS, Azure, GCP) for data science workflows
  • Experience with real-time data processing technologies (e.g. Apache, Kafka)

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 Employment Benefits

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