Data Scientist
Core
Develop and deploy advanced AI, machine learning, NLP, and Generative AI solutions to improve product quality, food safety, manufacturing performance, and supply chain resilience.
Role type
Senior IC data scientist (industrial AI & quality analytics)
Builds
Production-ready analytics solutions, predictive models, dashboards, and scalable cloud data architectures for global supply chain operations.
Domain
Manufacturing, Food & Beverage, Supply Chain
Deliverable
production ML models
Required skills
Python, PySpark, Databricks, Azure/AWS, TensorFlow/PyTorch, SQL, NLP, Computer Vision, Generative AI, Statistical Process Control, MLOps, Industrial IoT (IIoT)
Preferred skills
HACCP/GMP frameworks, SAP S/4HANA, Tableau/Power BI, 8D/FMEA methodologies
Technologies
Databricks, Azure, AWS, Python, PySpark, TensorFlow, PyTorch, Tableau, Power BI, SAP S/4HANA, MES, QMS/eQMS
Responsibilities
Develop predictive models for product quality, audit scores, and equipment failure; Apply NLP and Generative AI to extract insights from audit reports and logs; Build end-to-end quality analytics connecting supplier performance to customer outcomes; Create real-time dashboards and risk scorecards for stakeholders; Design and deploy scalable cloud data architectures integrating IIoT and enterprise systems; Implement MLOps practices for model monitoring and governance.
Seniority
Senior, hands-on IC
