Senior Data Scientist
Core
Lead the design and deployment of high-impact machine learning and Generative AI solutions for fraud detection and risk analytics in Long Term Care.
Role type
Senior IC Data Scientist (GenAI & Fraud Analytics)
Builds
Production-ready probabilistic models, anomaly detection systems, and RAG applications for fraud prevention.
Domain
Insurance / Financial Services / Fraud Detection
Deliverable
production ML models
Required skills
Generative AI, Prompt Engineering, RAG systems, LLM fine-tuning, Probabilistic modeling, Anomaly detection, Python, PyTorch, SQL, Neo4j, Azure
Preferred skills
Software engineering best practices, Cross-functional collaboration, Critical thinking
Technologies
Azure, PyTorch, scikit-learn, Hugging Face, Neo4j, Cosmos DB, GPT models
Responsibilities
Lead end-to-end development of fraud detection models; Perform advanced modeling on large datasets to identify fraud patterns; Build and optimize modular RAG systems; Apply LLMs to parse complex documents; Collaborate with data engineers to integrate solutions; Review code and models of other data scientists.
Seniority
Senior, hands-on IC
