Supply Chain Machine Learning Data Scientist

Summary

Data Scientist on the Supply Chain Machine Learning team responsible for developing scalable machine learning and optimization solutions to improve demand forecasting, order fulfillment, and logistics. Collaborate with cross-functional teams to design, implement, and deploy production-ready models and maintain data pipelines and monitoring to support supply chain decision making.

Responsibilities

• Perform exploratory data analysis and statistical modeling on large complex datasets
• Design develop and implement scalable machine learning models and optimization algorithms
• Build and maintain robust data pipelines to process clean and transform data from diverse sources
• Implement evaluation and monitoring to validate model performance and reliability
• Collaborate with product managers engineers and stakeholders to identify ML opportunities
• Communicate findings insights and trade-offs to technical and non technical audiences
• Deploy and maintain production ML solutions in collaboration with engineering teams

Requirements

• Bachelor's Master's or PhD in a quantitative field or equivalent experience
• Minimum 1 years hands on experience in data science or machine learning roles
• Minimum 1 years professional SQL experience with advanced queries and optimization
• Proficient coding skills in Python and experience with ML libraries such as Scikit learn TensorFlow or PyTorch
• Experience with statistical and machine learning algorithms and model evaluation techniques
• Familiarity with cloud based ML infrastructure and data pipelines such as AWS GCP or Azure
• Strong communication collaboration and problem solving skills