Lead Data Scientist
Tasks
- Build ML infrastructure foundations
- Build knowledge graph solutions
- Build risk and fraud ML applications
- Construct knowledge graphs using LLMs
- Deliver production ML models
- Design feature services
- Develop weak supervision methods
- Enable knowledge graph querying and retrieval
- Engineer features and labeling automation
- Implement model serving standards
- Implement model training pipelines
- Orchestrate model workflows
- Solve classification with imbalanced data
- Support entity resolution for business identities
Perks/Benefits
Skills/Tech-stack
Classification | Data Validation | Entity Resolution | Feature Engineering | Feature Store | Fraud Detection | Graph Neural Networks | Knowledge graphs | LLM retrieval | Labeling Automation | Language Models | Large Language Models | Machine Learning | Model Management | Model Orchestration | Model Serving | Model Training | Model training pipeline | Neural Networks | Risk Modeling | Training Pipeline | Trust and Safety | Weak Supervision
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
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