Gildan is leading the way in apparel manufacturing, with a strong portfolio of brands, including Gildan®, American Apparel®, Comfort Colors®, GOLDTOE®, and Peds®. We’ve spent the last four decades perfecting the art of respectful apparel making, and the last 20 years implementing sustainable initiatives throughout our business.

Founded in Canada, we now operate out of roughly 30 locations worldwide across 12 countries and sell our products in 60+ markets globally with $3 billion in sales. Together with more than 45,000 employees, we are united in our vision of Making Apparel Better®. Discover the full scale of Gildan and prepare to be surprised at gildancorp.com.

We’re looking for a Data Scientist who can turn models into real-world impact. This role blends data science expertise with application development to operationalize machine learning and analytics through scalable, user-facing tools.

Key Areas of Responsibility

Data Analysis & Application

• Analyze and interpret complex datasets to uncover actionable insights

• Collect data from various sources and prepare it for analysis

• Develop interactive data applications using tools like Streamlit to make insights accessible and actionable for business users

Data Science Modelling

• Build, train and validate machine learning models

• Utilize data science techniques to produce Machine learning models to solve real business problems

Deployment

• Deploy code into production environments following development lifecycle best practices

• Maintain version control and CI/CD pipelines for scalable and reliable deployment

• When necessary, develop APIs and backend services (e.g., Flask, FastAPI) to support model integration into production systems

Documentation and Process

• Contribute to architecture and standards for data mining, modeling, and analysis

• Improve and evolve Agile frameworks to enhance team collaboration and project delivery

• Document methodologies and workflows to ensure clarity and reproducibility

Communication

• Ensure effective communication with all stakeholders on the projects that your team works on

• Work closely with stakeholders to define key metrics and promote innovative technologies

Profile & Core Competencies

• At least Bachelor’s Degree in Computer Science & Engineering or relevent Engineering background from a reputed public or private university

• Minumum 3 years experience in relevent filed.

• Analyze and interpret complex datasets to uncover actionable insights.

• Excellent Python programming skills, with a strong focus on data-centric development.

• Choosing the data science technique best suited for each task

• Strong proficiency in pandas for data wrangling, feature engineering and handling large datasets.

• Excellent written and oral skills in English

• Join a publicly traded company dual-listed on NYSE and TSX with great potential
• Be part of a workplace where meaningful connections and teamwork are celebrated
• From local to international, be ready to work alongside a diverse group of colleagues
• Benefit from mentorship and continuous development opportunities
• Take advantage of our attractive benefits packages

We want to get to know you better! Please include your transferrable skills and unique experience in your application to help us learn more about you.

We thank all applicants for their interest, however, only those selected for interviews will be contacted.

We recognize the importance of diversity, equity, and inclusion to create a meaningful, collaborative work environment. As an inclusive employer, we value and embrace all the traits that make you uniquely you and seek to provide everyone with an equal chance to succeed. Because equity and inclusion matter at Gildan.

#FindYourFit at Gildan and tailor the future of your own career.