Build, refine, and implement cutting-edge machine learning models and algorithms designed for supply chain needs, including demand forecasting, inventory management, network design, and logistics optimization

Collaborate with Supply Chain engineering teams to gather insights into their workflows, technical limitations, and data requirements

Oversee the entire lifecycle of data science projects, from defining challenges and analyzing data to deploying models and monitoring their performance

Leverage expertise in Generative AI to design applications that incorporate AI capabilities

Utilize skills in time-series analysis, forecasting, and statistical modeling to analyze supply chain data and external datasets

Conduct comprehensive data analyses to identify trends, patterns, and opportunities for enhancing supply chain operations

Deliver insights, findings, and technical concepts to diverse audiences using clear presentations and visualizations

Stay informed on advancements in AI and supply chain technologies, experimenting with new methods and approaches

Create and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, automated testing, performance evaluation, and A/B testing

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

A minimum of 5 years of experience in data science and machine learning, with a specialization in supply chain applications

At least 1 year of experience leading and managing development teams

Proficiency in cloud computing platforms like AWS, Azure, or GCP, as well as experience with machine learning tools such as MLFlow

Advanced knowledge of both relational SQL and NoSQL databases

Strong programming skills in languages such as Python, R, Scala, or Rust, along with experience in machine learning frameworks and libraries

Deep understanding of supply chain concepts, processes, and data structures

Demonstrated ability to deploy data science solutions that enhance supply chain performance

Outstanding problem-solving skills and analytical thinking for addressing complex challenges creatively

Strong communication skills, enabling collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders

Enthusiasm for keeping up with industry advancements and sharing knowledge within the team

Practical experience with Generative AI services and open-source models

Self-motivated with the ability to independently manage projects and drive them to completion

Proven ability to excel in dynamic, fast-paced environments

Proficiency in English, both written and spoken, at a B2+ level or higher

Familiarity with distributed computing tools like Spark

Expertise in deep learning frameworks such as TensorFlow or PyTorch, with hands-on experience in developing complex AI systems