Description

You design, build, and deploy machine learning models using Databricks, Python, and Spark to solve business problems.

This role is on-site.

Responsibilities

• Design and deploy ML models using Databricks (MLflow, Spark ML, Python) and implement end-to-end pipelines from ingestion to monitoring.
• Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics and optimize Spark jobs for performance and cost.
• Configure Databricks Genie for self-service analytics, designing semantic layers optimized for natural language queries.
• Partner with product owners and business leaders to identify high-value use cases and translate complex results into clear insights.

Required Skills

• 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.
• Hands-on experience with Databricks, Apache Spark, and Python (PySpark, Pandas, NumPy, Scikit-learn).
• Strong programming skills in Python and solid understanding of SQL and data modeling.
• Experience building and deploying ML models in production, including MLflow and model lifecycle management.
• Knowledge of data governance, lineage, and security best practices.

Preferred Skills

• Experience configuring Genie for natural language analytics.
• Background in data engineering collaboration for reliable dataset quality.

Key Skills

Education

Bachelor's or Master's degrees