Data Scientist

At Garmin we create products that are designed indoors for outdoor activities. We do this to enable our customers to make the most of their time spent pursuing their passions.

We recognize the value of flexibility in supporting employee well-being, work-life balance, and effective collaboration. Associates may work from home up to four days per month, or one day per week, while remaining connected to the teams and culture that help us do our best work.

Our roles are primarily office-based because we believe the best ideas, innovation, and strongest professional relationships are built through in-person collaboration, making regular team interaction an important part of our culture and future success.

We are seeking a Data Scientist to be part of our new data and AI team.

The role combines data science, machine learning, AI, experimentation, and software engineering, with opportunities to contribute throughout the lifecycle of a solution, from exploration and prototyping through deployment and monitoring.

The Data Scientist will collaborate with cross-functional teams, and ensure the successful implementation and integration of data-driven solutions.

Responsibilities

• 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.
• Experiment with new machine learning and AI techniques and assess their applicability to real-world product problems.
• Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle.
• Define appropriate evaluation methodologies and metrics to measure model and product performance.
• 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.
• Lead the development of custom machine learning models and algorithms tailored to specific business needs.

Requirements

• Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math or Physics or a technical 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.
• Strong programming skills in Python and/or Java.