Staff Data Scientist (Supply Chain)

Overview

In this role, you will be instrumental in shaping the future of supply chain operations, serving as a technical leader within the data science team. Your mission involves designing, developing, and deploying innovative optimization solutions and advanced forecasting models, significantly impacting inventory optimization and planning accuracy on a global scale.

Team Dynamics

You will join a diverse and dynamic group comprising ML engineers, data scientists, data engineers, and product managers. Together, you will focus on leveraging AI/ML to address complex challenges and enhance decision-making processes. The fast-paced environment demands rapid turnaround times and ambitious targets, fostering a culture of efficient growth while ensuring that machine learning systems scale according to business needs.

Your Responsibilities

• Drive data science initiatives to impact supply chain effectiveness by reducing stockouts and ensuring full order fulfillment through evaluation of technology, algorithms, and processes.
• Design and implement cutting-edge optimization models aimed at creating a more efficient, reliable, and resilient supply chain.
• Lead complex optimization projects from inception to deployment, ensuring scalability and alignment with business requirements.
• Offer expertise on forecasting methodologies and their influence on supply chain performance and optimization.
• Collaborate with senior stakeholders across various departments to enhance supply chain strategy through data and AI insights.
• Act as a thought leader in supply chain optimization, staying updated on the latest research and technological advancements.
• Mentor and coach fellow data scientists, providing guidance to foster their professional development.
• Assist in developing data science platforms and infrastructure to streamline model building and deployment processes.

Your Background

• Extensive experience (8+ years) in data science, with a focus on optimization within supply chains and a strong foundation in statistical modeling, machine learning, and time-series forecasting.
• A Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• A hands-on data scientist with strategic insight, able to lead projects and guide technical decisions.
• Proficiency in Python and SQL, as well as familiarity with data science libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
• Experience with optimization software, such as Gurobi, and an understanding of large-scale data processing frameworks like Spark.
• Exceptional communication skills, with the ability to convey complex technical concepts in business terms and align stakeholders with proposed solutions.
• A passion for utilizing data to create business impact, driven by a desire to shape the future of supply chain operations.