Data Scientist with Data Bricks Lakehouse contract C2C requirements

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

 

 

 

Description:

 

Role Descriptions: 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

 

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.

 

Databricks & Lakehouse Architecture

 

· 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.

 

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 questions into Genie-enabled insights.

 

Business Enablement & Collaboration

 

· 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 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 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.