OverviewWe are seeking a full-time
Data Scientist 1 at our Louisville, CO location. 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 products. This role will also leverage machine learning, statistical analysis, and data engineering techniques to solve challenging business problems.
Essential Functions- Collect, clean, and preprocess large datasets from multiple sources
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
- Develop and implement predictive models using machine learning and statistical methods
- Collaborate with cross-functional teams to translate data insights into actionable recommendations
- Build and deploy annotation, training, and evaluation pipelines and automate workflows to improve efficiency
- Experiment with and evaluate new data science techniques, algorithms, and tools
- Coordinate with different functional teams to implement models into production and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Visualize and present data for stakeholders using basic graphics/technologies
- Identify opportunities to leverage internal and external datasets to drive business solutions
- Support the development of custom data machine learning models and algorithms to apply to datasets
- Use predictive modeling to enhance user experiences, revenue generation, and business initiatives
- Assist in project definition activities and help set business expectations based on data insights
- 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
- Ensure data quality, governance, and compliance with data privacy and AI regulations
Basic Qualifications- 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 OR an equivalent combination of education and relevant experience
- Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
- Familiarity using systems such as SQL, Python, or R
- Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
- Demonstrated understanding of basic 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
The deadline to apply to this role is August 6th at noon MT. Desired Qualifications- Experience with structured database management systems
- Experience with 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 in working with unstructured data (text, images, audio, etc.)
- Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits
