Company Description Archimedis Digital is a global professional IT services company focused exclusively on Life Sciences, building digital products and solutions that support innovation across the sector. The company partners with Life Sciences organizations to drive growth throughout the digital life cycle, from strategy to execution. Combining deep Life Sciences domain knowledge with solid IT expertise, Archimedis Digital addresses complex cross-functional business challenges with practical, scalable solutions. Its offerings are designed to simplify digital transformation, helping clients modernize operations and unlock recent value. Team members collaborate closely with clients in a dynamic, problem-solving environment oriented toward measurable impact.
Role Summary
We are seeking a Data Scientist with robust Databricks and machine learning experience to develop, deploy, and monitor data-driven models. The role will work closely with business, data engineering, and technology teams to convert business problems into scalable analytics and AI/ML solutions.




Key Roles & Responsibilities
Understand business problems and translate them into data science, predictive analytics, or machine learning use cases
Explore, clean, transform and validate structured and unstructured data from multiple data sources
Develop statistical, machine learning, and predictive models using Python and Databricks
Build end-to-end ML pipelines in Databricks for data preparation, feature engineering, model training, evaluation, and deployment
Use Databricks capabilities such as notebooks, Spark, Delta Lake, MLflow, and Databricks Workflows for scalable model development and lifecycle management
Evaluate model performance using appropriate metrics; perform tuning, validation, and error analysis
Collaborate with Data Engineers to ensure reliable data ingestion, data quality, feature availability, and production-ready pipelines
Support model deployment through APIs, batch scoring, or

📌 Data Scientist – Databricks Chennai
🏢 Archimedis Digital
📍 Chennai