Lead Data Scientist

Role responsibilities

Build end-to-end data, analytics, and AI solutions to support SIOP transformation and improve inventory and customer service metrics. Turn complex operational data into robust models, dashboards, and tools to drive business decisions.

Requirements

Requires a bachelor's degree and 2+ years of experience in data science, specifically with SQL, Python, and machine learning. Candidates must be authorized to work in the U.S. without sponsorship and be able to perform work subject to ITAR/EAR regulations.

Key skills

SQL, Python, Machine Learning, Time-series Analytics, Snowflake, GitHub, Azure Data Platform, CI/CD, Demand Forecasting, Inventory Management, Supply Chain Analytics, AI-assisted Coding, Data Pipeline Engineering, Dashboard Development, ERP Systems, Product Development

Keywords

Data Science, AI, SIOP, Supply Chain, Snowflake, Python, SQL, Machine Learning, Time-series, Azure, GitHub, CI/CD, Demand Sensing, Inventory Management, Clear-to-build, ERP, Aerospace, Manufacturing, ITAR, EAR, Data Pipelines, Forecasting, Analytics Operations, Product Development