Home Depot

Lead Data Scientist, Online Merchandising

STORE SUPPORT CENTER, ATLANTA - 9090 · 1mo ago

Not specified10+ YOE

Quick summary

AI parsed

Experience: 10+ years in business intelligence and analytics with demonstrated expertise in predictive modeling, data mining, data analysis, and statistical techniques. Preferred: PhD in quantitative field or equivalent. Key skills: Python, SQL/Google BigQuery, Tableau, prescriptive modeling (optimization, computer vision, recommendation, search, NLP)

Responsibilities

Design and develop algorithms and models against large datasets to create business insights; communicate findings and recommendations to technical and non-technical leaders
Lead and manage large complex data science projects and teams; provide mentoring to junior roles and serve as technical SME for predictive and prescriptive modeling methods
Develop trust and collaboration with internal customers and cross-functional teams; seek new business opportunities to leverage data science as competitive advantage
Own library of reusable algorithms; define best practices for model productionalization; develop mastery in prescriptive modeling techniques and ensure code/model documentation

Full description

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: We are transforming how online merchandising decisions are made through the innovative use of data-driven optimization, econometrics, and advanced causal modeling. This is a highly prioritized and visible area of our business, and we are seeking a talented Lead Data Scientist to take charge of the end-to-end implementation of our merchandising science initiatives. This critical role involves everything from initial architecture and experimentation through to the governance of producti…