Role Overview:We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.
Key Responsibilities:- Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
- Implement end-to-end ML pipelines (data ingestion ? training ? deployment ? monitoring).
- Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
- Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
- Optimize Spark jobs for performance and cost efficiency.
- Apply best practices for data governance, lineage, and security.
- Configure and enable Databricks Genie for self-service analytics.
- Design semantic layers and curated datasets optimized for natural language queries.
- Partner with business stakeholders to translate questions into Genie-enabled insights.
- Work closely with product owners, analysts, and business leaders to identify high-value use cases.
- Communicate complex analytical results in a clear, business-friendly manner.
Required Skills:- Hands-on experience with Databricks and Apache Spark.
- Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
- Experience building and deploying ML models in production.
- Solid understanding of SQL and data modeling.
- Experience with MLflow, model lifecycle management, and experimentation.
Qualifications:- Bachelor's or master's degree in data science, Computer Science, Statistics, Engineering, or a related field.
- 4+ years of experience in data science or advanced analytics.
Preferred Skills: 
