Lead Data Scientist

Role Overview

• Lead the design and implementation of Gen AI for tailored AI predictions in the manufacturing and supply chain space.
• Spearhead development of Agentic architectures, including multi-agent patterns, deliver innovative AI solutions.
• Identify high-impact opportunities in demand planning, inventory management, financial forecasting, and document processing.
• Provide deep data science expertise and thought leadership in Supply Chain and Finance functions, understanding domain-specific challenges and KPIs.
• Develop and deploy predictive models and optimization algorithms that address critical ISC and other domain problems.
• Lead end-to-end data science projects – defining concrete opportunities from vague problem statements, data extraction and exploration through model training, validation, and deployment.
• Partner closely with Supply Chain analysts, Logistics managers, Finance controllers, and IT data teams to gather requirements and implement data-driven solutions.
• Ensure that analytics initiatives adhere to necessary compliance and governance standards.

Requirements

• Advanced degree (Bachelor’s or above) in Data Science, Statistics, Computer Science, Operations Research, or related field.
• 8+ years of experience in data science or advanced analytics roles, including deploying solutions that drive measurable value (ideally in supply chain and/or finance contexts).
• Expert-level programming in Python and SQL; proficiency with libraries/frameworks such as pandas, scikit-learn, TensorFlow/PyTorch; experience with Databricks or Azure Cloud ML services.
• Strong grasp of statistical modeling, machine learning algorithms, and data mining techniques for time-series forecasting and classification/regression.
• Solid understanding of supply chain (demand forecasting, S&OP, inventory optimization), finance (budgeting/planning, reporting, cost analysis) and similar enterprise function concepts.
• Excellent problem-solving and ability to break ambiguous problems into actionable data questions; strong communication skills to influence business leaders.

Tech Stack

• Azure
• Cloud
• Pandas
• Python
• PyTorch
• Scikit-Learn
• SQL
• Tensorflow

Benefits

• employer-subsidized Medical, Dental, Vision, and Life Insurance
• Short-Term and Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• Health Savings Accounts
• EAP
• Educational Assistance
• Parental Leave
• Paid Time Off (for vacation, personal business, sick time, and parental leave)
• 12 Paid Holidays