Staff Data Scientist
Tasks
- Deploy and validate models in production
- Design and build scalable machine learning solutions
- Develop production ready models and features
- Establish model validation and governance practices
- Lead end-to-end data science initiatives
- Manage cross functional data science delivery
- Monitor model performance and data quality
- Provide technical mentorship and best practices
- Translate business problems into analytical requirements
Perks/Benefits
- 401k
- Adoption Assistance
- Defined Contribution Retirement
- Employee assistance programs
- Fitness subsidies
- Flexible work arrangements
- Health savings account
- On-site gyms
- Tuition assistance
Skills/Tech-stack
ArcGIS | Artificial Intelligence | Automated testing | CI/CD | Causal Inference | Data Pipelines | Data Quality | Databricks | Doubly Robust | Doubly-robust estimation | Embeddings | Experiment design | Feature Store | GDAL | Geopandas | Geospatial Analytics | Machine Learning | Model Monitoring | Model Validation | Propensity score | Python | QGIS | RAG | Rasterio | Robust Estimation | SQL | Sensitivity Analysis | Sequence analysis | Spark | Statistics | Transformers | Vector Databases
Education
Roles
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