Job Description
Role Summary
n We are seeking a Data Scientist with solid 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
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- 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
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- 4–8 years of experience in Data Science, Machine Lear

📌 Data scientist_Databricks (Tamil Nadu)
🏢 Archimedis Digital
📍 Tamil Nadu