Data Scientist II - AI Modeling & Data Pipelines

Garmin Ltd.; Olathe (KS); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Garmin Benefits

Job summary

Garmin International seeks a Data Scientist 2 at its U.S. headquarters in the Greater Kansas City area. You will analyze complex datasets, build ML models, and collaborate with cross-functional teams to provide actionable insights and AI solutions.

The role involves data preprocessing, EDA, model deployment support, and ongoing learning of new techniques. Responsibilities include designing data pipelines, collaborating on product and strategy recommendations, and ensuring data quality and

Qualifications

• Bachelor's Degree in a technical field such as CS/EE/CE/Math/Physics or related (as in description)
• Experience with SQL, Python, or R
• Strong knowledge of ML frameworks (Scikit-Learn, TensorFlow, PyTorch)
• Understanding of advanced descriptive and inferential statistics
• Expert knowledge in data analysis methods and tools
• Demonstrates good communication and teamwork skills

Responsibilities

• Lead collection, cleaning, and preprocessing of large datasets
• Conduct advanced exploratory data analysis to identify trends and anomalies
• Design, implement, and refine predictive models
• Collaborate with cross-functional teams to translate data insights into product and strategy
• Design and deploy data pipelines for annotation, training, evaluation and automation
• Experiment with emerging data science techniques to improve model performance
• Support production integration of models and monitor performance post-deployment
• Create data visualizations and reports showing insights and results

Skills

SQL

Python

R

Communication

Problem solving

Education

Bachelor's degree in a technical field

Tools

Scikit-Learn

TensorFlow

PyTorch

Spark

Dask

NoSQL

Job description

Garmin International seeks a Data Scientist 2 at its U.S. headquarters in the Greater Kansas City area. You will analyze complex datasets, build ML models, and collaborate with cross-functional teams to provide actionable insights and AI solutions.

The role involves data preprocessing, EDA, model deployment support, and ongoing learning of new techniques. Responsibilities include designing data pipelines, collaborating on product and strategy recommendations, and ensuring data quality and