Senior Data Scientist
Tasks
- Collaborate with engineering and data engineering to productionize models
- Define data infrastructure requirements
- Design machine learning models to optimize product offerings
- Develop statistical models for cash flow forecasting
- Explore datasets and prototype new approaches
- Improve MLOps foundations
- Iterate deployed models with engineering
- Mentor junior team members through code and design review
- Monitor model performance and run residual analysis
Perks/Benefits
- Dental insurance
- Flexible vacation
- Flexible work hours
- Health insurance
- Parental leave
- Provided equipment
- Remote work
- Vision insurance
Skills/Tech-stack
MLOps | Machine Learning | Model Monitoring | NumPy | Pandas | Probability | Python | Residual analysis | SQL | SageMaker | Scikit-learn | Statistics | Vertex AI
Education
Roles
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