C2C requirements
Role: Data Scientist with Databricks
Location: Indianapolis, IN (Onsite)
Duration: Contract
Rate : $60/hr on C2C
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.
To apply for this job email your details to venu@flexontechnologies.com