In this role, you will take the lead in applying advanced data science and machine learning techniques to address complex supply chain challenges, improve processes, and drive smarter decision-making. You will work independently while collaborating with Supply Chain engineering teams to design and implement impactful solutions that leverage AI innovations and data-driven strategies to shape the future of our supply chain operations.

Responsibilities

Develop, optimize, and deploy advanced machine learning models and algorithms tailored to supply chain applications, such as demand forecasting, inventory optimization, network planning, and logistics improvements
Work closely with Supply Chain engineering teams to understand their data requirements, workflows, and technical constraints
Manage the full lifecycle of data science projects, from problem identification and data exploration to model implementation and performance tracking
Utilize expertise in Generative AI to build applications that integrate AI services
Apply advanced knowledge of time-series analysis, forecasting, and statistical modeling to supply chain and external data sources
Perform in-depth data analyses to uncover patterns, trends, and opportunities to enhance supply chain efficiency
Present insights, findings, and technical concepts to diverse audiences through clear and effective visualizations and narratives
Stay up-to-date on the latest advancements in AI and supply chain technologies, experimenting with innovative techniques and solutions
Design and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, testing, and performance evaluation

Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a related field
At least 7 years of experience in data science and machine learning, with a focus on supply chain applications
A minimum of 2 years of experience leading and managing teams, with the ability to drive technical direction, enforce best practices, and deliver high-quality outcomes
Participation in at least 2 full-cycle projects or involvement in multiple projects across different stages of the development lifecycle
Expertise in cloud platforms such as AWS, Azure, or GCP, along with experience using machine learning tools like MLFlow
Advanced proficiency in relational SQL databases and NoSQL systems
Strong programming skills in languages such as Python, R, Scala, or Rust, with experience using machine learning libraries and frameworks
Deep understanding of supply chain principles, processes, and data structures
Proven record of deploying data science solutions that improve supply chain performance
Excellent problem-solving skills and analytical abilities for addressing complex challenges creatively
Strong communication skills to collaborate effectively with diverse teams and explain technical concepts to non-technical stakeholders
Passion for staying informed about industry trends and sharing knowledge with team members
Hands-on experience with Generative AI services and open-source models
Self-starter with the ability to manage projects independently and ensure their successful completion
Comfortable working in fast-paced, dynamic environments
Fluent in English, both written and spoken, at a B2+ level or higher

Nice to have

Experience with distributed computing technologies such as Spark
Advanced knowledge of deep learning frameworks like TensorFlow or PyTorch, with practical experience in building complex AI systems

We offer