Data Scientist II (AI Deployment)
Tasks
- Build APIs and components
- Collaborate with customer analytics teams on implementations
- Configure machine learning models
- Define use cases
- Deliver measurable customer outcomes
- Develop reusable data pipelines
- Improve system architecture
- Integrate data
- Provide customer technical expertise
- Refine reinforcement learning algorithms
- Set up data pipelines
- Support production model deployment
Perks/Benefits
- Donation matching
- Equal Paid Parental Leave
- Flexible paid time off
- Hybrid work
- Learning stipend
- Professional development
- Volunteer week
Skills/Tech-stack
API Development | Airflow | CI/CD | CatBoost | Code review | Data Pipelines | ETL | GCP | Git | Keras | Kubernetes | Machine Learning | Model Deployment | Pandas | Python | Reinforcement Learning | SQL | Scikit-learn | TensorFlow | Terraform | Testing | Type hinting | XGBoost
Education
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