ML Integration and Analytics Engineer

Job description

Monro’s family of brands is one of the leading automotive service and tire dealers in the United States.

We work on approximately five million vehicles a year, but with us, it is personal.

Every guest is important, and every teammate is valued.

That is our people-first approach.



Headquartered in our hometown of Rochester, New York, where our founder, Chuck August, opened his first store in 1957, we have grown to over 1,100 auto repair shops and tire dealers in 32 states from coast to coast.

Monro powers 16 highly respected tire and auto service brands, supporting each company’s regional strength and community connections.

From big cities to small towns to rural crossroads, you will find us in neighborhoods of every shape, size, and color.



Under the Monro banner, we are united TEAM and share the same mission to bring our guests the highest quality tire and auto service in the industry.



Do you have what it takes to shape a better future for yourself and the automotive service industry?

Our vision is to be America’s leading auto and tire centers, trusted by consumers as the best place in our neighborhoods for quality automotive maintenance and repairs.

We’re looking for motivated individuals at every stage in their career who share our vision.

Positions are available in our retail locations across our many brands, in field management, and in store operations at our Store Support Center in Fairport, New York.

If you like helping others, if you enjoy being part of a team, solving problems, and building guest relationships, if you value honesty and integrity - we have a Destination for you at Monro.

Destination Monro -Your Career is Here!

Machine Learning Integration and Analytics Engineer would be Responsible for deploying, maintaining, and enhancing machine learning models within the Snowflake environment, while also developing and refining Power BI dashboards.

This role serves as the bridge between advanced machine learning outputs and actionable business insights, ensuring models and dashboards adapt to evolving requirements.

Essential Functions:

ML Code Integration: Deploy, test, and validate ML models in Snowflake in collaboration with data engineering teams.

Model Maintenance: Monitor and support existing models, addressing accuracy, performance, and operational issues.

Model Adaptation: Recalibrate and enhance models based on new business inputs, data sources, and evolving use cases.

Visualization Development: Design, develop, and maintain Power BI dashboards that adhere to modern visualization and storytelling best practices.

Visualization Maintenance: Update and enhance dashboards with new KPIs, metrics, and analytical requirements.

Collaboration: Work closely with data scientists, engineers, and business stakeholders to translate technical outputs into accessible insights.

Management Responsibility: 

+ Machine Learning Integration and Analytics Engineer is an individual contributor and operates under the general direction of the Enterprise Architecture


Education and Experience:

+ Bachelor's or master's degree in a quantitative field such as statistics, math, comp.

science, data science

+ Experience: 4 – 7 years experience in data science, predictive analytics, or related roles preferably in retail industry

+ 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).

Knowledge & Skills:

+ Strong analytic and critical thinking skills; Strong data analysis & analytical problem-solving skills

+ Excellent verbal and written communication skills with the ability to present data and complex terminology in an easily understood and concise way

+ Ability to interact with business users, ask the right level of questions, and transform business needs into technology enabled solutions 

+ Ability to suggest, drive and govern technological best/proven practices

+ Ability to operate comfortably and effectively in a fast paced, highly cross functional, rapidly changing environment.

+ Must be able to manage multiple tasks and changing priorities

+ Strong team collaboration across Business / IT / 3rd Party Partners

+ Share and work in accordance with our values

Work Environment & Physical Requirements:

This job operates in a professional office environment.

This role routinely uses standard office equipment such as computers, phones, photocopiers, scanners and fax machines.

Position requires prolonged periods of sitting/standing at a desk and working on a computer.

Ability to work standard business hours with the flexibility to work evenings, weekends and holidays as needed.

Occasional travel required.

Benefits  

+ Health Insurance  

+ Dental Insurance 

+ 401K Retirement Plan with Company Match 

+ Paid vacation 

+ Paid Holidays 
 


Your next Destination!

Growth Opportunity:

At Monro we’re committed to helping our teammates grow their career through the combination of coursework, demonstrating leadership skills and open opportunities.

Our teammates receive on-the-job training, company sponsored certifications, as well as course curriculum in Monro University that empowers them to advance to the next level of their careers.

Monro, Inc.

is an equal opportunity employer and affords equal opportunity to all applicants for all positions without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Required Skill Profession

Other General