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

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

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