Data Scientist Intern

Garmin

Louisville (CO)

On-site

USD 25,000 - 42,000

Full time

4 hours ago
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Benefits offered by this job

Garmin Intern Benefits

Job summary

Garmin is seeking a full-time Intern - Data Scientist at our Louisville, CO site. You will learn and train to develop large data sets, build ML models, and translate insights into actionable AI products.

Collaborate with cross-functional teams to drive data-driven decisions, design data pipelines, and monitor model performance while gaining hands-on experience in a leading tech company.

Qualifications

  • Pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or relevant field.
  • GPA 3.0+ preferred.
  • Familiarity with SQL, Python or R.
  • Understanding of basic descriptive and inferential statistics.
  • Knowledge of data analysis methods and tools.
  • Strong verbal and written communication; team-oriented.
  • Driven problem solver with good documentation.

Responsibilities

  • Collect, clean, and preprocess large datasets from multiple sources.
  • Perform EDA to identify trends and anomalies.
  • Develop and apply predictive models with ML and statistics.
  • Collaborate with cross-functional teams to translate insights.
  • Build and deploy annotation, training, and evaluation pipelines.
  • Monitor model performance and data quality.
  • Visualize data for stakeholders using basic graphics.

Skills

Dataset preprocessing
EDA & data visualization
Communication
Team collaboration
Problem solving
Documentation

Education

Pursuing a degree in Computer Science / Electrical Engineering / Computer Engineering / Software Engineering / Aerospace Engineering / Math or related field

Tools

SQL
Python
R

Job description

Overview

We are seeking a full-time Intern - Data Scientist at Garmin's Louisville, CO location. In this role, you will be responsible for learning and training to develop complex data sets, machine learning models, and collaborate with cross-functional teams to provide actionable insights and AI products.

Essential Functions
  • Contribute to the collecting, cleaning, and preprocessing of large datasets from multiple sources
  • Contribute to exploratory data analysis (EDA) to identify trends, patterns, and anomalies
  • Learn to develop and implement predictive models using machine learning and statistical methods
  • Collaborate with cross-functional teams to translate data insights into actionable recommendations
  • Learn to build and deploy annotation, training, and evaluation pipelines and automate workflows to improve efficiency
  • Learn to develop processes and tools to monitor and analyze model performance and data accuracy
  • Learn to visualize and present data for stakeholders using basic graphics/technologies
  • Use predictive modeling to enhance user experiences, revenue generation, and business initiatives
  • Learn and adapt methods from senior team members
  • Participate in peer reviews and provide constructive feedback
  • Demonstrate a drive to learn and master new technologies and techniques
Basic Qualifications
  • Pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or relevant field
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • Familiarity using systems such as SQL, Python or R
  • Understanding of basic descriptive and inferential statistics
  • 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
  • Previous experience working in a team environment

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 Intern Benefits

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