Annotation Math Jobs in Colorado (NOW HIRING)

We 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.

• 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

• 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.

• 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 workflowsExposure 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)

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 Benefits