Manufacturing Data Scientist

We are seeking a high-impact Data Scientist to design and build advanced analytics, machine learning models, and AI-driven insights for enterprise and manufacturing environments.

This role focuses on transforming ERP, MES, PLM, IoT, and supply chain data into actionable intelligence that improves operational efficiency, predictive capabilities, and business decision-making.

You will work at the intersection of:

• Manufacturing systems
• Cloud data platforms
• AI/ML modeling
• Enterprise integration ecosystems

⚙️ Key Responsibilities

Data Science & Machine Learning

• Develop predictive and prescriptive models for:
• Demand forecasting
• Predictive maintenance
• Quality defect detection
• Supply chain optimization
• Build and deploy ML models using Python / Spark / cloud ML platforms
• Perform feature engineering on structured and unstructured enterprise data

Manufacturing & Industrial Analytics

• Analyze data from:
• ERP systems (SAP, Oracle, Dynamics 365)
• MES systems (Siemens, Rockwell, Plex)
• PLM systems (PTC, Teamcenter)
• IoT sensors and shop floor devices
• Build models for:
• OEE (Overall Equipment Effectiveness)
• Cycle time optimization
• Yield and scrap reduction
• Production bottleneck detection

Data Engineering Collaboration

• Work closely with data engineers to build scalable data pipelines
• Support ingestion from:
• Data lakes (Azure Data Lake, S3)
• Streaming systems (Kafka, Event Hubs)
• Ensure data quality, governance, and lineage

AI & Advanced Analytics

• Develop AI/ML solutions using:
• Azure Machine Learning / Databricks / AWS SageMaker
• Experiment with generative AI use cases:
• Manufacturing assistant agents
• ERP copilots for operations teams
• Deploy models into production environments

Visualization & Insights Delivery

• Build dashboards using:
• Power BI / Tableau / Looker
• Translate model outputs into business insights for:
• Plant managers
• Supply chain leaders
• Finance and operations teams

Cross-System Integration

• Work with enterprise systems:
• SAP S/4HANA
• Microsoft Dynamics 365
• Oracle ERP
• MES/PLM platforms
• Support integration of ML outputs into operational workflows

Required Skills & Experience

• 5–8+ years experience in Data Science / Machine Learning
• Strong Python, SQL, and statistical modeling skills
• Experience with ML frameworks:
• Scikit-learn, XGBoost, TensorFlow or PyTorch
• Experience working with large-scale enterprise data
• Strong understanding of data pipelines and cloud platforms

Preferred Domain Experience

• Manufacturing / Industrial / Supply Chain analytics
• ERP / MES / PLM data exposure
• Predictive maintenance or quality analytics experience
• Experience with IoT or sensor-based data systems