Supply Chain Data Analyst / Data Scientist
Core
Build and scale a Closed-Loop Design Program to accelerate pre-sales engineering, improve automation design accuracy, and leverage AI-driven insights for intralogistics and warehouse operations.
Role type
Senior Data Scientist / Senior Data Engineer (Applied AI & Analytics)
Builds
Intelligent, repeatable outputs for proposal development, cost/ROI scenario modeling, and design analytics for warehouse automation solutions.
Domain
Supply Chain Automation / Intralogistics / Warehouse Robotics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Science, Analytics Engineering, Applied Machine Learning, SQL (modeling, optimization, governance), Databricks (Delta Lake, jobs, SQL Warehouses), Python (data prep, modeling, automation)
Preferred skills
Warehouse automation domain knowledge (AMRs, AutoStore, Shuttle, Sortation, WES/WCS), Forecasting, Optimization (LP/MILP), Simulation/Digital Twin, Document parsing
Technologies
Databricks, SQL, Tableau Cloud, Python
Responsibilities
Build curated datasets and governed reporting tables; Ingest and manage full pursuit lifecycle artifacts (RFPs, specs, drawings); Develop applied analytics solutions (forecasting, scenario modeling, optimization); Publish datasets and insights for Tableau Cloud; Establish closed-loop learning cycles by comparing design assumptions against operational outcomes; Partner cross-functionally to improve automation decision-making.
Seniority
Senior, hands-on IC
