Databricks Data Scientist
Job in
Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listed on 2026-07-07
Listing for:
TekCommands Inc
Full Time
position Listed on 2026-07-07
Job specializations:
-
IT/Tech
Data Engineering, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Databricks Data Scientist
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.
- 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.
- 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.
- 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.
- 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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