Databricks Data Scientist

Databricks Data Scientist

• Location: Indianapolis, IN
• Duration: 6 months
• GBaMS ReqID: 10949055
• Experience Required: 4–6 years
• Minimum Experience: 4+ years in Data Science or Advanced Analytics

Role Overview

• Design, build, and deploy scalable data science and AI solutions using Databricks
• Work with Databricks Lakehouse, advanced analytics, machine learning, and Genie (AI/BI)
• Transform enterprise data into actionable business insights
• Enable natural language analytics and self-service BI through Databricks Genie

Data Science & Machine Learning

• Design, develop, and deploy machine learning models using:
  • Databricks
  • MLflow
  • Spark ML
  • Python
• Build end-to-end ML pipelines covering:
  • Data ingestion
  • Data preparation
  • Model training
  • Model deployment
  • Model monitoring
• Collaborate with Data Engineers to ensure reliable, high-quality Lakehouse datasets
• Develop and deploy production-grade ML models
• Manage experimentation and model lifecycle

Databricks & Lakehouse

• Hands-on experience with Databricks Lakehouse
• Work with:
  • Delta Lake
  • Unity Catalog
  • Apache Spark
• Optimize Spark jobs for:
  • Performance
  • Scalability
  • Cost efficiency
• Apply best practices for:
  • Data governance
  • Data lineage
  • Data security

Genie / AI & BI

• Configure and enable Databricks Genie for self-service analytics
• Design semantic layers for natural language analytics
• Build curated datasets optimized for natural language queries
• Partner with business stakeholders to translate business questions into Genie-enabled insights
• Enable business users to explore data using natural language

Business Collaboration

• Work closely with:
  • Product Owners
  • Data Analysts
  • Business Leaders
  • Data Engineers
• Identify high-value data science and analytics use cases
• Translate business requirements into analytical solutions
• Communicate complex analytical results clearly to non-technical stakeholders

Required Qualifications

• Bachelor’s or Master’s degree in:
  • Data Science
  • Computer Science
  • Statistics
  • Engineering
  • Related field
• 4+ years of experience in Data Science or Advanced Analytics
• Hands-on experience with Databricks
• Strong experience with Apache Spark
• Strong Python programming skills
• Experience with:
  • PySpark
  • Pandas
  • NumPy
  • Scikit-learn
• Experience building and deploying ML models in production
• Strong SQL skills
• Understanding of data modeling
• Experience with MLflow
• Experience with model lifecycle management
• Experience with ML experimentation

Key Skills

• Databricks
• Databricks Lakehouse
• Databricks Genie / AI/BI
• Apache Spark
• PySpark
• Python
• SQL
• MLflow
• Delta Lake
• Unity Catalog
• Machine Learning
• Advanced Analytics
• Data Modeling
• Natural Language Analytics
• Self-Service BI

Preferred Experience

• Digital: Databricks
• Experience Required: 4–6 years