Senior Data Scientist

We are seeking a highly skilled and motivated Senior Data Scientist – GenAI to join the Long Term Care (LTC) Fraud, Waste & Abuse (FWA) Advanced Analytics team. In this role, you will lead the design and deployment of high‑impact machine learning and AI solutions—combining traditional statistical modeling with advanced AI and Generative AI techniques, including prompt engineering, RAG applications, fine‑tuning LLM models, and deploying applications on cloud platforms like Azure.

You will work closely with business partners to translate complex fraud and risk problems into scalable, production‑ready analytical and AI solutions. Your work will directly protect policyholders, ensure program integrity, and improve operational efficiency.

• Lead end‑to‑end development of fraud detection and risk analytics models, including probabilistic models, anomaly detection, and ensemble approaches.
• Perform advanced modeling and AI analysis on large, complex datasets to identify emerging fraud patterns and root causes.
• Demonstrate proficiency in developing, fine‑tuning, and deploying Generative AI models such as GPT models, understanding model selection, optimization, and evaluation to ensure high performance and accuracy while managing cloud‑based solutions for scalability, security, and performance.
• Build and optimize modular RAG (Retrieval‑Augmented Generation) systems, apply advanced retrieval methods, and evaluate and monitor the performance of RAG systems.
• Apply large language models (LLMs) to parse complex documents and handle diverse layouts—including multi‑column text, tables, and images—converting them into machine‑readable formats to extract structured information.
• Stay up‑to‑date with the latest advancements in Generative AI, prompt engineering, Agentic Framework, and cloud technologies to enhance data science capabilities.
• Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
• Communicate sophisticated technical concepts and findings to both technical and non‑technical partners, ensuring clear understanding and agreement.
• Review the work of other Data Scientists and participate in model and code reviews.
• Collaborate with multi‑functional teams to identify and define business requirements, ensuring alignment with data science objectives.

• Master’s, or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field.
• 5+ years of hands‑on industry experience in developing probabilistic models, analytics, and machine learning algorithms, with strong focus on machine learning, generative AI, timely engineering, and RAG applications.
• Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit‑learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB).

• Knowledge of professional software engineering practices and standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
• Strong problem‑solving skills and the ability to think critically and creatively to develop innovative solutions.
• Excellent communication and collaboration skills, with the ability to work optimally in multi‑functional teams.
• Strong problem‑solving mindset with the ability to think critically and creatively.
• Excellent communication and collaboration skills, with comfort working in cross‑functional teams.

• Empower you to learn and grow the career you want.
• Recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• Support you in shaping the future you want to see.
• Credible benefit programs including health, dental, mental health, vision, short‑ and long‑term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits.
• Generous paid…