Role Title: Data Scientist Function / Department: About the Role: We are seeking an experienced Data Scientist (4-6 years) to lead AI-driven transformation in a globally recognized Pharma Manufacturing IIo T environment. Our AI/ML use cases have received recognition from the World Economic Forum's Global Lighthouse Network, making this a high-impact, innovation-driven role. This position involves leading multiple use cases, working on exploratory technologies, and experimenting with cutting-edge AI tools. Be part of AI projects recognized by the World Economic Forum's Global Lighthouse Network. Lead AI-driven decision-making & automation in a high-impact, mission-critical pharma environment. Experiment with AI innovations & next-gen robotics (quadrupeds, computer vision). Lead AI-Driven Use Cases: Develop and deploy machine learning models for predictive maintenance, yield optimization, and quality control. Computer Vision & Robotics Integration: Build and optimize vision-based analytics for Quadrupeds to automate inspections and detect anomalies. Cutting-Edge Generative AI & NLP: Implement Generative AI models (e.g., Big Data Processing & AI Pipelines: Work with IIo T data streams, industrial sensors, and unstructured datasets for scalable AI deployment. Interactive Analytics & Decision Intelligence: Research & Experimentation: Explore and implement new AI tools and emerging technologies for digital transformation. Bachelor's degree in Engineering or a Master's in Statistics, Computer Science, IT, Analytics, or related fields. Programming: Proficiency in Python and libraries such as Num Py, pandas, scikit-learn. Machine Learning & Deep Learning: Experience with Tensor Flow, Py Torch, and classical ML models. Computer Vision: Familiarity with Open CV, object detection models, and industrial vision analytics. Generative AI: Exposure to GANs, NLP models, and Transformers. Big Data & IIo T: Experience with data pipelines, ETL processes, and IIo T data streams. Expertise in Tableau, Power BI, or Plotly for interactive dashboards. MLOps, Exposure to Azure or similar cloud platforms Ability to drive AI-powered decision-making in a fast-paced industrial setting. Tech Explorer: Passion for working on emerging AI technologies, robotics, and experimental AI models. Collaboration & Leadership: Comfortable working with cross-functional teams and leading projects.
Job Title
Data scientist (marketing)