Data Scientist - Healthcare Supply Chain Riskdata

📋 Description

• Develop and apply ML/NLP/LLM models for supply chain risk and decision-making.
• Build predictive risk models for vulnerabilities across products and suppliers.
• Statistical analysis on large datasets to identify anomalies and disruptions.
• Design risk scoring using supplier health, geography, and external signals.
• Support scenario analysis to assess disruptions in supply and demand.
• Collaborate with Engineers to operationalize models in Exiger's platform.

🎯 Requirements

• Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch) and SQL with statistics.
• Strong ML background: anomaly detection, classification, clustering, and predictive analytics.
• Experience with LLMs (development, fine-tuning, or applications).
• Experience with large, complex datasets in supply chains or third-party risk.
• Familiarity with SCRM and related domains (procurement, logistics, healthcare).
• S. citizenship

🎁 Benefits

• High-performance culture focused on accountability and collaboration.
• Discretionary Time Off with no maximum limits.
• Industry-leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid working arrangement.