Data Scientist
Tasks
- Build and deliver production ready API integrations
- Communicate findings using Jupyter notebooks and documentation
- Conduct customer focused data studies and benchmark performance
- Contribute to R and D on graph based and LLM based techniques
- Develop and evaluate agents and rule based models
- Investigate and resolve product issues with engineering and product teams
- Lead data exploration and analysis on financial crime datasets
- Prototype and iterate data pipelines and insights
- Run experiments validate hypotheses and fine tune thresholds
Perks/Benefits
Skills/Tech-stack
API Integration | Anomaly Detection | Data profiling | Docker | Entity Resolution | GNNs | Git | Graph Embeddings | Graph Neural Networks | Jupyter Notebooks | LLMs | Linux | NLP | Neural Networks | PySpark | Python | RAG | SQL | Spark SQL
Education
Roles
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