Kontoor Brands is looking to leverage data science to improve supply chain and operational decision-making, moving from descriptive insights to predictive modeling and machine learning.
Requirements
- Proven experience applying AI into Inventory Optimization, Demand Planning, Inventory Modelling and Forecasting and Safety Stock Analysis
- Proficiency with Power BI for data modelling, DAX, and dashboard creation (optional).
- Hands-on experience with Python or R for statistical analysis, data wrangling, and model development.
- Knowledge of forecasting and statistical methods (Prophet, ARIMA, regression, classification).
- Familiarity with SnowPark, dbt, or similar data transformation frameworks.
- Understanding of cloud-based ML platforms and MLOps concepts.
- Exposure to A/B testing, experimentation design, and causal inference methods.
Responsibilities
- Design and deliver advanced analytical insights that drive strategic and operational decisions, using statistical, predictive, and optimization techniques.
- Lead the development of the supply network data science roadmap, aiming to embed advanced analytics into the supply chain function.
- Identify high-value opportunities for predictive modeling, machine learning, and optimization, and execute proof-of-concept projects to demonstrate impact.
- Establish standards, governance, and best practices for data science, ensuring reproducibility, scalability, and integration with existing data infrastructure.
- Partner with IT, Data Engineering, and external vendors to evaluate the technology stack required for advanced analytics and machine learning.
- Build and maintain data products, models, and algorithms that generate ongoing business intelligence and measurable ROI.
- Mentor analysts and business users in advanced analytics concepts, fostering a culture of data-driven decision-making.
Other
- U.S. work authorized applicants only.
- Bachelor’s degree in a quantitative field (Data Science, Statistics, Applied Mathematics, Computer Science, Industrial Engineering) or equivalent experience.
- Experience with analytics or data-centric roles with demonstrated progression toward advanced analytics.
- Proven experience translating data into actionable business recommendations.
- Excellent communication skills with technical and non-technical audiences.
