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Data Scientist Databricks at Indianapolis, IN; Onsite

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60 USD Hourly USD 60.00 HOUR
Job Description & How to Apply Below
Position: Data Scientist with Databricks at Indianapolis, IN (Onsite)
Location: Indianapolis

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, 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.
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