Data Scientist
Core
Transform pharmaceutical manufacturing data into actionable insights using AI/ML models, predictive monitoring tools, and digital twins to optimize processes and ensure product quality.
Role type
Data Scientist (Manufacturing AI/ML)
Builds
AI/ML models, predictive monitoring tools, AI-enabled digital twins, dashboards, and visualizations for manufacturing workflows.
Domain
Pharmaceutical manufacturing / Industrial AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Classical ML (KNN, SVM, Random Forest, GBMs), Deep Learning (CNNs, RNNs, GRU, autoencoders), Time-series analysis, Signal processing, Python, SQL, MLOps (Databricks, MLflow, AWS)
Preferred skills
Pharma/biotech/chemical manufacturing datasets, Workflow automation (Airflow, n8n), Cloud deployment (Docker, Kubernetes, Azure ML, AWS Sagemaker)
Technologies
Python, SQL, Databricks, MLflow, AWS, GitHub Actions, SonarQube, Docker, Kubernetes, Azure ML, AWS Sagemaker, Airflow, n8n
Responsibilities
Build and deploy AI/ML models for forecasting, anomaly detection, and process optimization; Write testable, versioned, packaged Python code with CI/CD and observability; Work with manufacturing and laboratory datasets applying time-series analysis and signal processing; Collaborate with manufacturing science engineers and IT to integrate models into workflows; Create dashboards and visualizations to communicate insights to stakeholders.
Seniority
Mid-level, hands-on IC
