Forward-Deployed Data Scientist II
Tasks
- Align stakeholders and translate technical value
- Build ML pipelines
- Deploy models for personalization
- Design ML use cases
- Develop tools and features for AI deployment
- Drive customer success with technical guidance
- Provide customer insights for product strategy
- Refine reinforcement learning algorithms
- Train machine learning models
- Transform data for modeling
Perks/Benefits
- Donation matching
- Employee resource groups
- Employee stock purchase plans
- Equal Paid Parental Leave
- Flexible paid time off
- Hybrid ways of working
- Learning stipend
- Professional development support
- Retirement plans
- Volunteer opportunities
Skills/Tech-stack
Airflow | CI/CD | CatBoost | Cloud platform | Code review | ETL | Git | Google Cloud | Google Cloud Platform | Keras | Kubernetes | Machine Learning | Modular programming | Pandas | Python | Reinforcement Learning | SQL | Scikit-learn | TensorFlow | Terraform | Testing | XGBoost
Education
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