Principal Data Scientist
Seattle, Washington, United States
USD 184K-270K Senior-level Full Time
Tasks
- Apply reinforcement learning
- Architect data science solutions
- Build recommender systems
- Create deep learning architectures
- Design model integration frameworks for multi agent environments
- Develop ranking algorithms
- Establish best practices
- Implement AI agentic models
- Lead experimentation and systems design
- Mentor engineers and scientists
- Scale production machine learning systems
- Translate technical trajectories into business cases
Perks/Benefits
Skills/Tech-stack
Agent systems | Applied statistics | Data Science | Deep learning | Experimentation | Graph Neural Networks | Graph transformers | Heterogeneous Graph Transformers | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Neural Networks | Production Machine Learning | PyTorch | Python | Ranking algorithms | Recommender Systems | Reinforcement Learning | Scalable Systems Design | Scalable systems | Systems Design | TensorFlow
Education
Roles
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