Data Scientist 2

Garmin International, Inc.•Boulder, CO

1d•Onsite

About The Position

We are seeking a full-time Data Scientist 2 at Garmin's location in the Boulder/Louisville area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.

Requirements

Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
Experience using systems such as SQL, Python, or R
Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
Demonstrated understanding of advanced descriptive and inferential statistics
Demonstrates expert 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

Nice To Haves

Experience with structured database management systems
Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or 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 (i.e. Matplotlib, Seaborn)

Responsibilities

Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
Design, implement, and refine predictive models using machine learning and statistical methodologies
Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
Create and present compelling data visualizations and reports using advanced graphics and visualization tools
Identify and leverage both internal and external datasets to drive innovation and support business solutions
Contribute to the development of custom machine learning models and algorithms across diverse datasets
Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
Support the definition of project scope and business expectations based on data-driven insights
Provide mentorship and share best practices with junior team members under the guidance of senior staff
Participate in peer reviews and contribute to the continuous improvement of team processes
Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations