Monro is looking to enhance its machine learning capabilities and analytics to provide actionable business insights and improve its automotive service and tire dealerships across the United States.
Requirements
Proven experience deploying ML models into production environments
Proficiency in Python for ML model integration, automation, and performance monitoring
Familiarity with Snowflake and its integration with ML workflows
Strong Power BI development skills, including DAX, data modeling, and visualization best practices
Understanding of ML model lifecycle management (evaluation, retraining, adaptation)
Experience with data science, predictive analytics, or related roles preferably in retail industry
Strong analytic and critical thinking skills
Responsibilities
Deploy, test, and validate ML models in Snowflake in collaboration with data engineering teams
Monitor and support existing models, addressing accuracy, performance, and operational issues
Recalibrate and enhance models based on new business inputs, data sources, and evolving use cases
Design, develop, and maintain Power BI dashboards that adhere to modern visualization and storytelling best practices
Update and enhance dashboards with new KPIs, metrics, and analytical requirements
Work closely with data scientists, engineers, and business stakeholders to translate technical outputs into accessible insights
Deploy ML models into production environments
Other
Bachelor's or master's degree in a quantitative field such as statistics, math, comp. science, data science
4 – 7 years experience in data science, predictive analytics, or related roles
Excellent verbal and written communication skills
Ability to interact with business users, ask the right level of questions, and transform business needs into technology enabled solutions
Ability to work standard business hours with the flexibility to work evenings, weekends and holidays as needed
