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ML Integration and Analytics Engineer Job Opening In Fairport – Now Hiring Monro Inc.


Job description

Job Description

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

  • Qualifications

    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.


    Additional Information

    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

    Computer Occupations


    • Job Details

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    Unlock Your ML Integration Potential: Insight & Career Growth Guide


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    Are You Looking for ML Integration and Analytics Engineer Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Monro Inc. adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

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    The average salary range for a varies, but the pay scale is rated "Standard" in Fairport. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Monro Inc. interview tips for ML Integration and Analytics Engineer

    Here are some tips to help you prepare for and ace your ML Integration and Analytics Engineer job interview:

    Before the Interview:

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