Lead Data Scientist

Role responsibilities

Build and deploy end-to-end data, analytics, and AI solutions to optimize SIOP transformation, inventory, and customer service. Translate complex operational data into robust models and dashboards to drive business decisions and financial impact.

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, Artificial Intelligence, 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 Pipeline, Forecasting, Analytics Operations, Product Development, Operational Data