Senior Data Scientist (AI Deployment)
Tasks
- Collaborate with analytics and BI teams on implementations
- Configure ML models
- Define use cases and data integration plans
- Develop APIs and components
- Develop reusable data pipelines
- Ensure measurable outcomes and adoption
- Improve product architecture for ML
- Provide customer facing technical insights
- Refine reinforcement learning algorithms
- Set up data pipelines
- Support ML model deployment
Perks/Benefits
- Donation matching
- Employee stock purchase plan
- Equal Paid Parental Leave
- Fertility benefits
- Flexible paid time off
- Hybrid work options
- Learning stipend
- Life and disability coverage
- Medical, dental, and vision coverage
- Professional development
- Retirement plans
- Volunteer week
Skills/Tech-stack
Airflow | CI/CD | CatBoost | Cloud platform | Code review | ETL | Git | Google Cloud | Google Cloud Platform | Keras | Kubernetes | Machine Learning | Pandas | Python | Reinforcement Learning | SQL | Scikit-learn | TensorFlow | Terraform | Testing | Type hinting | XGBoost
Education
Roles
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