Senior Data Scientist

TL;DR

Senior Data Scientist (Supply Chain AI): Developing predictive models and forecasting capabilities for supply chain optimization via no-code ML workspaces with an accent on time series forecasting, statistical models, and machine learning techniques. Focus on conducting proof-of-concept experiments, maintaining algorithmic proficiency, and owning MLOps and QA for scalable business problem-solving.

Company

Enterprise AI platform for supply chains empowering business and technical users with out-of-the-box AI solutions and composable tools, serving Fortune 500 clients like Coca-Cola and Estée Lauder.

What you will do

• Stay current with new analytical methods in predictive analytics and justify method selections for ML and forecasting workspaces.
• Conduct quick proof-of-concept experiments to validate algorithms and techniques for supply chain problem-solving.
• Own MLOps processes and functional QA for ML workspaces.
• Collaborate with Customer Success to enhance algorithmic capabilities in Predictions workspace.

Requirements

• 3–6 years of experience in product roles.
• Deep understanding of statistical models, machine learning, and deep learning.
• Strong experience with time series forecasting.
• Solid Python programming background.