Senior Data Scientist

Overview

We are seeking a full-time Senior Data Scientist in our Olathe, KS location. In this role, you will be responsible for applying statistics and technical skills to help various parts of Garmin's business make better decisions, products and user experiences. This role will also educate leaders on how data might be better leveraged and advise decision makers on strategically important issues and will serve as an expert in analysis best practices, successful data project management and effective presentation of information.

At Garmin, we're committed to creating innovative, data-driven experiences that enhance the way golfers play, train, and improve. As a Data Scientist on our team, you'll have the unique opportunity to turn complex data into actionable insights that shape the future of golf technology. In this role, you'll analyze rich datasets from Garmin wearables, GPS devices, course mapping, swing metrics, and user behavior to uncover patterns and deliver predictive models. Your work will support product innovation, improve golfer performance, and elevate the user experience across our golf ecosystem-from course strategy tools to personalized coaching features. You'll collaborate with engineers, designers, and product teams to bring cutting-edge data science solutions to life in products used by golfers around the world.

Essential Functions

• Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
• 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, product management and business stakeholders, to define project requirements and deliver data-driven solutions.
• Conduct advanced exploratory data analysis (EDA) to uncover insights, trends, and patterns in large and complex datasets.
• 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, 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 Engineering, Mathematics, Statistics, or another relevant technical field AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience
• Extensive experience using systems such as SQL, Python, or R
• Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
• Demonstrated expertise in advanced descriptive and inferential statistics, including the ability to apply these techniques to complex data sets and real-world problems
• 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.)
• Advanced experience with data visualization tools (i.e. Matplotlib, Seaborn, Tableau)
• Proficiency with cloud platforms (e.g. AWS, Azure, Google Cloud Platform) 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