Jason Mehal

Data Science Director - Assortment and Space Planning

Professional Overview

Jason Mehal is an experienced data science leader with a proven track record of driving strategic initiatives and delivering measurable business impact. As the Data Science Director for Assortment and Space Planning at The Home Depot, he oversees the development and implementation of data-driven solutions to optimize product assortment and in-store layout.

Experience Summary

Current Role

In his current role as Data Science Director - Assortment and Space Planning at The Home Depot, Jason is responsible for leading a team of data scientists and analysts to develop innovative models and algorithms that enhance the company's assortment strategy and in-store space optimization. He works closely with cross-functional stakeholders to identify opportunities, design data-driven solutions, and implement impactful initiatives that drive increased sales, improved customer experience, and operational efficiency.

Career Progression

Prior to his current role, Jason served as the Data Science Director - Space Optimization at The Home Depot, where he successfully led the development and implementation of advanced modeling techniques to optimize store layouts and product placements. Earlier in his career, he held the position of Data Science Sr. Manager - Store Operations, where he leveraged his expertise in statistics and data analysis to drive operational improvements and enhance store performance.

Before joining The Home Depot, Jason worked as a Statistician at the Centers for Disease Control and Prevention, where he contributed to the analysis of public health data and the development of evidence-based strategies.

Academic Background

Jason holds a Master's degree in Statistics from the Georgia Institute of Technology, where he specialized in predictive modeling and optimization techniques. His strong academic background, combined with his industry experience, has enabled him to become a respected leader in the field of data science.

Areas of Expertise

• Assortment optimization and space planning

• Predictive modeling and forecasting

• Retail operations and store performance analysis

• Data-driven decision making and strategic planning

• Cross-functional collaboration and stakeholder management

• Team leadership and talent development

Professional Impact

Under Jason's leadership, The Home Depot has achieved significant improvements in its assortment strategy and in-store layout optimization. His data-driven solutions have helped the company enhance customer experience, increase sales, and improve operational efficiency. Jason's contributions have been recognized within the organization, and he is a sought-after speaker and thought leader in the data science and retail communities.

Conclusion

With his extensive expertise in data science, retail operations, and strategic decision-making, Jason Mehal is poised to continue driving innovation and delivering exceptional business results for The Home Depot. His passion for leveraging data to solve complex challenges and his collaborative leadership style make him a valuable asset to the organization.