Senior Data Scientist – Databricks

Experience: 4–8 Years

Databricks Experience: 1–2 Years

Work Mode: Hybrid & Remote possible (Fulltime Employee)

Key Responsibilities

- Develop and implement machine learning models for classification, regression, forecasting, clustering and NLP.
- Perform data analysis, feature engineering and model evaluation using Python and statistical techniques.
- Work with large datasets using PySpark, SQL and Databricks.
- Build and manage ML workflows using MLflow and Databricks capabilities.
- Support model deployment, monitoring, performance tracking and MLOps practices.
- Work with Feature Store, Unity Catalog Model Registry, Model Serving and Lakeflow Jobs.
- Monitor model performance, drift and fairness, ensuring reliable production outcomes.





Required Technical Skills

- Robust hands-on experience in Python, Pandas, Scikit-learn, PySpark and SQL .
- Practical experience with Databricks (1–2 years).
- Strong understanding of statistics, machine learning algorithms and model validation.
- Experience with MLflow and production ML workflows.
- Exposure to Unity Catalog, Model Registry, Feature Store and Model Serving.

Good to Have

- Experience with LLMs, RAG and Mosaic AI.
- Exposure to Azure and Delta Lake.

Ready to turn data into intelligent business solutions? Apply now!

📌 Senior Data Scientist – Databricks (India)
🏢 RapidBrains
📍 India