Data Scientist Data Bricks Lakehouse C2C

Position:
Data Scientist with Data Bricks Lakehouse

Location:

Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

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.

• 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.

• 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 and Apache Spark.
• Strong programming skills in Python (PySpark, Pandas, Num Py, 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.

Education:

At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.