Data Scientist Intern — Build ML Models & Insights

Garmin; Olathe (KS); On-site; USD 21,000 - 30,000; Full time

Benefits offered by this job

Garmin Intern Benefits

Job summary

Garmin is seeking a Data Scientist Intern at its U.S. headquarters in the Greater Kansas City area. You will learn and train to develop complex data sets, build ML models, and collaborate with cross-functional teams to provide actionable insights and AI products.

The role emphasizes learning from senior team members, contributing to data pipelines, and translating data insights into recommendations that support business initiatives.

Qualifications

• Pursuing a degree in a relevant field with strong academics.
• GPA at or above 3.0 as a general guideline.
• Familiarity with SQL, Python or R for data tasks.
• Understanding of descriptive and inferential statistics.
• Strong communication and teamwork skills.

Responsibilities

• Contribute to collecting, cleaning, and preprocessing large datasets.
• Perform exploratory data analysis to identify trends and anomalies.
• Develop and implement predictive models using ML and statistics.
• Collaborate with cross-functional teams to translate insights into actions.
• Build and deploy annotation, training, and evaluation pipelines; automate workflows.
• Monitor model performance and data accuracy; visualize findings for stakeholders.
• Use predictive modeling to enhance user experiences and business goals.
• Learn from senior team members and participate in peer reviews.

Skills

SQL

Python

R

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in CS/EE/CE/Software Eng/Math

Job description

Garmin is seeking a Data Scientist Intern at its U.S. headquarters in the Greater Kansas City area. You will learn and train to develop complex data sets, build ML models, and collaborate with cross-functional teams to provide actionable insights and AI products.

The role emphasizes learning from senior team members, contributing to data pipelines, and translating data insights into recommendations that support business initiatives.