Staff Data Scientist
Tasks
- Architect scalable ML systems
- Build relevance and prediction systems
- Build training pipelines
- Communicate technical strategy across stakeholders
- Conduct causal measurement experiments
- Define technical standards and best practices
- Develop experimentation frameworks
- Develop yield strategy models
- Drive data science roadmap for product areas
- Evaluate and adopt AI ML modeling techniques
- Implement real-time inference
- Lead cross-team data science initiatives
- Mentor and develop data scientists
- Optimize auction and marketplace bidding
- Translate marketplace problems into data science solutions
- Validate and monitor ML models in production
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Artificial Intelligence | Causal Inference | Cloud Computing | Cloud platform | Deep learning | Experimentation Design | Feature Engineering | Go | Google Cloud | Google Cloud Platform | Java | Kubeflow | Machine Learning | Model Monitoring | Model Validation | Optimization Methods | Probability | PyTorch | Python | Real Time | Real-time Inference | SQL | Statistics | TensorFlow | TensorFlow Extended | Training pipelines | Vertex AI
Education
Roles
Regions
Countries
States
Cities
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