Data Scientist

Who we are Gildan is a leading apparel manufacturing company, with a strong portfolio of brands, including Gildan®, American Apparel®, Comfort Colors®, GOLDTOE®, Peds®, and under the Under Armour® brand through a sock licensing agreement. With close to four decades of developing global manufacturing expertise, Gildan is one of the world’s most efficient, ethical, and sustainable apparel manufacturers. Founded in Canada, Gildan operates out of roughly 30 locations worldwide and sells its products in 60+ markets globally.

Together with its 50,000+ employees, Gildan operates with a proven commitment to industry-leading Environmental, Social, and Governance (ESG) practices throughout its supply chain in accordance with its comprehensive ESG program embedded in the Company's long-term business strategy. More about the company at gildancorp. com. The opportunityWe’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.

The roleData Analysis & ApplicationAnalyze and interpret complex datasets to uncover actionable insightsCollect data from various sources and prepare it for analysisDevelop interactive data applications using tools like Streamlit to make insights accessible and actionable for business usersData Science ModellingBuild, train and validate machine learning modelsUtilize data science techniques to produce Machine learning models to solve real business problems DeploymentDeploy code into production environments following development lifecycle best practicesMaintain version control and CI/CD pipelines for scalable and reliable deploymentWhen necessary, develop APIs and backend services (e. g.

, Flask, FastAPI) to support model integration into production systemsDocumentation and ProcessContribute to architecture and standards for data mining, modeling, and analysisImprove and evolve Agile frameworks to enhance team collaboration and project deliveryDocument methodologies and workflows to ensure clarity and reproducibility CommunicationEnsure effective communication with all stakeholders on the projects that your team works onWork closely with stakeholders to define key metrics and promote innovative technologiesThe requirementKnowledge & Professional ExperienceAt least bachelor’s degree in Engineering, Computer Science, or Statistics, or a related field from a reputed public or private university with a minimum of 03 years of experience.

AttributesAnalyze 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 taskStrong proficiency in pandas for data wrangling, feature engineering and handling large datasets.

Excellent written and oral skills in EnglishWhat's in it for you?Join a publicly traded company dual-listed on NYSE and TSX with great potentialBe part of a workplace where meaningful connections and teamwork are celebratedFrom local to international, be ready to work alongside a diverse group of colleaguesBenefit from mentorship and continuous development opportunitiesTake advantage of our attractive benefits packages You don't meet all criteria outlined above? Include your transferrable skills and unique experience in your application! We thank all applicants for their interest, however only those selected for interviews will be contacted. Come as you are:

Join a company that recognizes the importance of diversity, equity, and inclusion to create a successful and collaborative work environment. As a an equal-opportunity employer, we value and embrace all the characteristics that make you uniquely you and seek to provide everyone with an equal chance to succeed. Because equity and inclusion matter at Gildan.