Job DescriptionRole Summary
N 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.
N Key Roles & Responsibilities
N
- n
- Understand business problems and translate them into data science, predictive analytics, or machine learning use cases. N
- Explore, clean, transform, and validate structured and unstructured data from multiple data sources. N
- Develop statistical, machine learning, and predictive models using Python and Databricks. N
- Build end-to-end ML pipelines in Databricks for data preparation, feature engineering, model training, evaluation, and deployment. N
- Use Databricks capabilities such as notebooks, Spark, Delta Lake, MLflow, and Databricks Workflows for scalable model development and lifecycle management. N
- Evaluate model performance using appropriate metrics;
perform tuning, validation, and error analysis. N




- Collaborate with Data Engineers to ensure reliable data ingestion, data quality, feature availability, and production-ready pipelines. N
- Support model deployment through APIs, batch scoring, or integration with downstream applications and reporting platforms. N
- Implement model monitoring for performance drift, data drift, accuracy, bias, and retraining requirements. N
- Document datasets, assumptions, model logic, performance results, limitations, and deployment/release details. N
- Present findings, insights, and recommendations clearly to business and technical stakeholders. N
- Follow data governance,security, privacy, and responsible-AI requirements applicable to the client environment. N
- Participate in code reviews, peer reviews, agile ceremonies, and continuous improvement initiatives. Essential Skills / N

nExperience
n
- N
- 4–8 years of experiencein Data Science

📌 Data Scientist_databricks (India)
🏢 Archimedis Digital
📍 India