Supply Chain Lead Data Scientist

🚨 We're Hiring: Supply Chain Lead Data Scientist (Remote - USA or Canada) 📍 Location: USA or Canada (Remote) 📅 Contract Duration: 12+ Months 💼 Client Industry: Leading Retail Brand At Staffworxs, we’re helping a top-tier retail organization find a seasoned Supply Chain Lead Data Scientist to lead advanced ML and GenAI initiatives across their global supply chain operations. If you have deep experience in Supply Chain ML, thrive in independent roles, and love collaborating with cross-functional engineering teams — this is your opportunity to make a real impact. 🔍 What You’ll Do • Design and deploy advanced ML models across use cases like demand forecasting, inventory optimization, and logistics planning • Collaborate with engineering teams to understand technical needs and deliver scalable solutions • Apply expertise in time-series forecasting, causal modeling, and Generative AI • Own the full ML lifecycle — from problem scoping and model development to deployment and monitoring • Build batch and real-time algorithms with tooling for monitoring, A/B testing, and automated validation • Stay on the cutting edge of GenAI and supply chain tech, applying emerging methods in production 🧠 What You Bring • 8+ years in data science, with a strong focus on supply chain applications • Mastery of Python, R, Scala, or Rust • Experience with cloud platforms (AWS, Azure, GCP), Spark, and ML tools like MLFlow • Practical expertise in Generative AI (open-source LLMs, API services, etc.) • Strong business acumen around supply chain operations and logistics • Excellent communication and stakeholder engagement skills • Self-starter mindset with ability to lead independently ✅ Preferred Qualifications • Advanced degree (MS/PhD) in Computer Science, Data Science, or Supply Chain • Experience in retail or logistics environments • Knowledge of deep learning frameworks (TensorFlow, PyTorch) 🎯 Why Join? • Directly influence the future of AI-driven supply chains • Be part of a high-impact, long-term project • Work on both traditional ML and cutting-edge GenAI use cases • Full remote flexibility (US or Canada) • Collaborate with world-class engineering teams on enterprise-scale AI solutions