Lead Data Scientist

Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Data Science, Supply Chain Management, or a related field. 8+ years of experience in data science and machine learning, with a strong focus on supply chain applications. 6+ years of experience working with cloud computing platforms (AWS, Azure, GCP), distributed computing (Spark), and ML tooling such as MLFlow. 8+ years of experience working with a variety of relational SQL and NoSQL databases. Mastery in programming languages such as Python, R, Scala, or Rust and proven experience with machine learning libraries and frameworks. Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and hands-on experience in implementing complex AI models. Deep understanding of supply chain principles, processes, and data. Proven track record of successfully deploying data science solutions to improve supply chain performance. Excellent problem-solving skills, analytical thinking, and the ability to approach complex challenges creatively. Strong verbal and written communication skills. Passion for staying updated with industry trends and sharing knowledge. Practical experience leveraging both GenAI services and open source models. Ability to work independently and drive projects to completion with minimal supervision. Experience working in a fast-paced, dynamic environment.

Lead the design, development, and deployment of advanced machine learning models for supply chain applications (e.g., demand forecasting, inventory optimization, network design, logistics optimization). Collaborate with Supply Chain engineering teams to understand their data requirements, business processes, and technical constraints. Independently manage end-to-end data science projects, from problem definition and data exploration to model deployment and performance monitoring. Apply expertise in Generative AI to build applications leveraging AI services. Apply strong expertise in time-series analysis, forecasting, and statistical modeling techniques. Conduct in-depth data analysis to identify trends, patterns, and opportunities for improvement across the supply chain. Communicate findings, insights, and technical concepts to both technical and non-technical audiences. Stay at the forefront of AI research and supply chain trends. Lead the design and implementation of end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, performance testing, and A/B testing of algorithms. Support technical evaluations of other consultants.