NEWPosted 3 hours ago
Job ID: JOB_ID_5164
Job Description
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
- Bachelors or masters 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.
Compensation & Location
Salary: $55 – $75 per year (Estimated)
Location: Indianapolis, IN
Recruiter / Company – Contact Information
Email: un.c@metrixit.com
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