• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. • Design and implement graph-based models to analyze, optimize, and improve supply chain networks. • Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. • Build scalable data pipelines and analytical models using PySpark for large-scale supply chain datasets. • Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. • Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. • Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations. • Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. • Collaborate, coach, and learn with a growing team of experienced Data Scientists. • Stay connected with external sources of ideas through conferences and community engagements