Supply Chain Data Analyst / Data Scientist

About the Role

We are seeking a highly motivated and hands-on Data Scientist / Senior Data Engineer to help build and scale KPI’s Closed-Loop Design Program — an initiative focused on accelerating pre-sales engineering, improving automation design accuracy, and leveraging AI-driven insights across the customer solution lifecycle.

This role sits at the intersection of Data Engineering, Applied AI & Analytics, Supply Chain Automation, and Solution Design. You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs, customer requirements, and historical project data into intelligent, repeatable outputs that drive faster and more accurate proposal development.

What You’ll Deliver: High-Impact Use Cases

• RFP & Specification Intelligence — Extract requirements, generate compliance matrices, and identify clarifying questions automatically.
• Cost & ROI Scenario Modeling — Support data-driven decision-making through option comparisons and sensitivity analysis.
• Proposal “Fact Pack” Automation — Create scalable executive summaries and SOW-ready proposal content from governed datasets.
• Design & Operational Analytics — Analyze throughput, staffing models, slotting strategies, and replenishment impacts.
• Benchmark-Driven Solution Guidance — Leverage historical project data and comparable implementations to guide future designs.

What You’ll Do

• Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables.
• Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control.
• Develop applied analytics solutions including: forecasting, scenario modeling, optimization (LP/MILP or practical heuristics), and similarity modeling and benchmarking.
• Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions.
• Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy.
• Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale.

What Success Looks Like

In this role, you will help KPI:

• Accelerate proposal development with intelligent, governed “first draft” solution packs
• Improve confidence and accuracy in complex automation pursuits
• Build scalable benchmarking capabilities that improve operational estimates over time
• Create data products that directly influence automation strategy and customer outcomes