Role: Databricks Data Scientist

Location: Indianapolis, IN -Onsite

Duration: 6 Months

JD:

Role Overview

• We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, Advanced Analytics, and Databricks Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions.
• The 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:

Data Science & Machine Learning

• 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 environment.

Databricks & Lakehouse Architecture

• Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Apply best practices for data governance, lineage, and security.

Genie (AI/BI & Natural Language Analytics)

• 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 business questions into Genie-enabled insights.

Business Enablement & Collaboration

• Work closely with Product Owners, Analysts, and Business Leaders to identify high-value business use cases.
• Communicate complex analytical results in a clear, business-friendly manner.
• Drive adoption of AI/BI solutions across the organization.

Required 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.
• Hands-on experience with Databricks and Apache Spark.

Strong programming skills in:

• Python
• PySpark
• Pandas
• NumPy
• Scikit-learn
• Experience building and deploying Machine Learning models in production environments.
• Strong understanding of SQL and Data Modeling.
• Experience with MLflow, Model Lifecycle Management, and Experiment Tracking.

Mandatory Skills

• Databricks
• Apache Spark
• Python
• PySpark
• MLflow
• Machine Learning
• SQL
• Delta Lake
• Unity Catalog
• Databricks Lakehouse
• Databricks Genie (AI/BI)

Preferred Skills

• Databricks Genie
• Natural Language Analytics
• Advanced Analytics
• Semantic Layer Design
• Data Governance
• Model Monitoring
• Data Lineage
• Self-Service BI