Tech Stack

Description

You will develop and productionize innovative ML models, including generative AI solutions, to solve complex supply chain problems such as inventory placement and vendor selection. You'll work with massive datasets and collaborate with engineering and business teams to drive customer-centric improvements.

Requirements

• 6+ years data scientist experience with data extraction, analysis, and statistical modeling
• Bachelor's degree in computer science, engineering, mathematics or equivalent
• Experience with statistical models such as multinomial logistic regression
• Knowledge of deep learning and deployment of ML solutions
• Experience with AWS tech stack (Redshift, S3, EC2, Glue) preferred

Responsibilities

• Develop, prototype, and productionize ML models using supervised, unsupervised, and reinforcement learning
• Innovate with generative AI to solve novel problems
• Perform feature engineering and exploratory data analysis on massive datasets
• Work closely with business, engineering, and partner teams to align on solutions
• Operate scalable data flow solutions from production systems to end-user applications