Data Scientist 2

Garmin International, Inc. is seeking a full-time Data Scientist 2 to analyze complex data, build machine learning models, and deliver actionable insights in the Boulder/Louisville area.

Responsibilities

• Under guidance or minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
• Perform advanced exploratory data analysis (EDA) to surface trends, patterns, and anomalies that guide modeling
• Design, implement, and improve predictive models using machine learning and statistical methods
• Partner with cross-functional teams to translate data-driven findings into product and strategy recommendations
• Design and deploy data pipelines for annotation, training, and evaluation; automate workflows to improve efficiency
• Research, test, and compare emerging data science techniques, algorithms, and tools to strengthen model performance
• Support model integration into production systems by coordinating with functional and technical teams and monitoring post-deployment performance
• Assist with processes and tooling to maintain model performance, reliability, and data quality
• Create and present data visualizations and reports using advanced graphics and visualization tools
• Identify and leverage internal and external datasets to enable innovation and support business solutions
• Contribute to custom machine learning models and algorithms across diverse datasets
• Apply predictive modeling to improve user experiences and support revenue growth while enabling data-driven insights
• Help define project scope and business expectations using data-driven insights
• Provide mentorship and share best practices with junior team members under guidance from senior staff
• Participate in peer reviews and contribute to continuous improvement of team processes
• Maintain an ongoing learning focus on new technologies, frameworks, and methodologies
• Ensure data quality and adherence to governance standards, including compliance with data privacy and AI-related regulations

Requirements

• Bachelor’s Degree in Computer Science or a related technical field (per listed options), plus at least 1 year of relevant experience
• Experience with systems such as SQL, Python, or R
• Strong knowledge of machine learning frameworks, including Scikit-Learn, TensorFlow, and PyTorch
• Demonstrated understanding of advanced descriptive and inferential statistics
• Expert-level knowledge of data analysis methods and tools
• Strong verbal, written, and interpersonal communication skills
• Team-oriented mindset with a positive attitude and ability to work effectively with others
• Driven problem solver with demonstrated success solving difficult problems
• Consistent effectiveness in work documentation and organization

Technologies

• SQL, Python, R
• Scikit-Learn, TensorFlow, PyTorch
• Matplotlib, Seaborn
• Spark, Dask
• NoSQL
• CI/CD

Desired Qualifications

• Experience with structured database management systems
• Experience applying statistical methods (e.g., time series analysis, NLP, deep learning, reinforcement learning)
• Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
• Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
• Understanding of A/B testing and causal inference
• Experience working with unstructured data (text, images, audio, etc.)
• Familiarity with data visualization tools (Matplotlib, Seaborn)

Location and Salary

• Location: Boulder, CO 80301 (onsite)
• Salary: USD 107,100 - 130,900 per year
• Employment: Full-time

Benefits

• Eligible for Garmin benefit program (Details can be found here: Garmin Benefits)