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Databricks Data Scientist

Avance Consulting

 

Indianapolis, IN, USA

Posted On: 15+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 2
Category: Databricks Data Scientist
Tenure: No Preference/Any
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Description

Skills

Delta Lake
Pandas
Spark ML
SQL
Apache Spark

Role Overview
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. The role focuses 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, and Python.

Implement end-to-end ML pipelines covering data ingestion, training, deployment, and monitoring.

Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.

Databricks & Lakehouse Architecture

Leverage Databricks Lakehouse, Delta Lake, and 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 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 Python programming skills, including PySpark, Pandas, NumPy, and Scikit-learn.

Experience building and deploying ML models in production.

Strong understanding of SQL and data modeling.

Experience with MLflow, model lifecycle management, and experimentation.

Skills
Databricks

Experience
4–6 years

Education

Any Graduate

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