Forward-Deployed Data Scientist II
Tasks
- Advance reinforcement learning self learning models
- Collaborate with analytics and BI teams
- Configure machine learning models
- Contribute to product strategy
- Create customer insights
- Define use cases
- Deliver adoption support
- Develop APIs
- Develop ML components
- Develop reusable data pipelines
- Improve product architecture
- Integrate data
- Measure outcomes for customers
- Provide customer facing technical expertise
- Refine reinforcement learning algorithms
- Set up data pipelines
Perks/Benefits
- Flexible paid time off
- Health, dental, vision insurance
- Hybrid work
- Learning stipend
- Parental leave
- Professional development
- Retirement plan
Skills/Tech-stack
Airflow | CI/CD | CatBoost | Cloud platform | Code Documentation | Code review | Data pipeline | ETL | Git | Google Cloud | Google Cloud Platform | Keras | Kubernetes | Machine Learning | Model Deployment | Pandas | Python | Reinforcement Learning | SQL | Scikit-learn | TensorFlow | Terraform | Testing | XGBoost
Education
Regions
Countries
States
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