Databricks Data Scientist
Home Office: Tysons, VA, United States
USD 113K-188K Senior-level Full Time
Tasks
- Analyze data to identify trends patterns and insights
- Build feature engineering workflows and training pipelines
- Collaborate with cross-functional teams
- Communicate model outputs and analytical findings
- Develop and evaluate machine learning models
- Document models datasets and methodologies
- Follow data governance security and compliance standards
- Monitor deployed models for performance and drift
- Perform data validation and quality checks
- Prepare and maintain datasets
- Register version and document models with MLflow
- Translate business requirements into analytical approaches and solutions
- Write optimize and maintain Python and SQL workflows
Perks/Benefits
Skills/Tech-stack
API Inference | Amazon Web Services | Apache Spark | Automated testing | Azure | Batch Scoring | CI/CD | Cloud platform | Data Quality | Data Validation | Databricks | Delta Lake | Feature Engineering | Feature Store | GenAI | Google Cloud | Google Cloud Platform | LLM | MLflow | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Model Registry | Model Serving | Prompt evaluation | Python | RAG | SQL | Scheduled Batch Scoring | Source Control | Statistical modeling | Unity Catalog | Vector Search | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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