Supply Chain Optimization Data Scientist

Candidate completed recruiter screen, technical review, and submitted a complex vehicle routing problem simulation script in Python. Recruiter acknowledged receipt and promised technical panel feedback within a week. Recruiter never responded for 42 days while the role was re-posted on career site. 📋 Uncompensated Assessment Details: Route optimization vehicle routing problem (VRP) Python simulation exercise ⭐ Ghost Severity Rating: 4.04 / 5.0 Rating Analysis: High severity due to uncompensated route optimization coding challenge (4.7), 42 days of silence (4.0), and 6-month continuous reposting (4.5). Rubric Breakdown: Silence: 4.0/5.0 | Rounds: 3.0/5.0 | Take-Home: 4.7/5.0 | Reposting: 4.5/5.0 | Consensus: 4.5/5.0 🔗 Community Discussion & Evidence: Reddit (460 upvotes, 140 comments) — https://www.reddit.com/r/datascience/comments/1cf8920/fedex_route_optimization_vrp_take_home_ghosted/ 🔍 LinkedIn Footprint: Perpetually Reposted (6+ months). Supply chain optimization data science roles active on LinkedIn for over 6 months. Glassdoor reviews report uncompensated technical challenges followed by recruiter silence.