Forward-Deployed Data Scientist II
Tasks
- Build machine learning pipelines
- Deploy machine learning models
- Design machine learning use cases
- Develop AI product features and tools
- Document and maintain modular code
- Drive model performance and adoption
- Follow development best practices
- Partner with product team on reinforcement learning algorithms
- Provide customer facing insights for AI strategy
- Provide technical guidance to customers
- Train machine learning models
- Transform and preprocess customer data
Perks/Benefits
- Disability coverage
- Donation matching
- Employee resource groups
- Employee stock purchase plan
- Flexible paid time off
- Hybrid work
- Learning stipend
- Life insurance
- Medical/Dental/Vision insurance
- Parental leave
- Retirement plan
- Volunteer week
Skills/Tech-stack
Airflow | CI/CD | CatBoost | Cloud platform | Code review | ETL | Git | Google Cloud | Google Cloud Platform | Keras | Kubernetes | Machine Learning | Machine Learning Pipelines | Model Deployment | Pandas | Python | Reinforcement Learning | SQL | Scikit-learn | TensorFlow | Terraform | Testing | Type hinting | XGBoost
Education
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