Design, develop, and implement advanced machine learning models and algorithms tailored to supply chain applications, such as demand forecasting, inventory optimization, network design, and logistics optimization

Collaborate closely with Supply Chain engineering teams to understand business processes, technical constraints, and data requirements

Manage end-to-end data science projects independently, including problem definition, data exploration, model development, deployment, and performance monitoring

Utilize expertise in Generative AI to create applications that integrate AI services

Apply knowledge of time-series analysis, forecasting, and statistical modeling techniques to supply chain data and external data sources

Perform detailed data analysis to uncover trends, patterns, and areas for improvement across the supply chain

Present findings, insights, and technical concepts to both technical and non-technical audiences through effective visualizations and presentations

Stay updated with the latest advancements in AI and supply chain technologies, experimenting with emerging techniques and solutions

Develop and implement end-to-end solutions for batch and real-time algorithms, including monitoring, logging, automated testing, performance testing, and A/B testing

Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a related field

At least 3 years of experience in data science and machine learning, with a focus on supply chain applications

Proficiency in cloud computing platforms such as AWS, Azure, or GCP, along with experience using ML tools like MLFlow

Expertise in working with both relational SQL and NoSQL databases

Advanced programming skills in languages like Python, R, Scala, or Rust, along with experience using machine learning libraries and frameworks

Strong understanding of supply chain principles, processes, and data structures

Proven experience in deploying data science solutions that improve supply chain performance

Exceptional problem-solving abilities and analytical skills for tackling complex challenges creatively

Effective verbal and written communication skills for collaborating across teams and explaining 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

Ability to work independently and manage projects with minimal supervision

Experience thriving in fast-paced, dynamic work environments

Fluent English proficiency, both written and spoken, at a B2+ level or higher

Experience with distributed computing frameworks such as Spark

Strong knowledge of deep learning frameworks like TensorFlow or PyTorch, with hands-on experience developing complex AI models