BI - Data Scientist

Design, build, and deploy scalable machine learning models and data workflows using Databricks, PySpark, MLflow, and Lakehouse architecture.

Implement AI/LLM-based solutions including retrieval-augmented generation, vector search, and enterprise agent workflows to power analytics and automation.

Ensure governance and security compliance by managing data and model access via Unity Catalog with RBAC and ABAC in production environments.

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.

3–7+ years of experience building and deploying machine learning models using Python and Databricks technologies including notebooks, Delta Lake, and MLflow.

Proficiency in SQL and Python for data manipulation and experience with production ML model deployment.

Experience with Lakehouse architecture and distributed scalable data processing.

Experienced in operationalizing ML workflows in enterprise production environments with strong governance and compliance focus.

Skilled in integrating advanced AI capabilities such as LLMs, vector search, and serverless compute within Databricks platform.

Able to work cross-functionally translating complex data problems into actionable AI solutions with strong communication skills.