Data Scientist AI/ML

Client: A leading U.S. healthcare company specializing in insurance and well-being services.

Job Title: Data Scientist (AI/LLM)

Location: 100% Remote (Need to work EST hours)

Job Description:

• We are seeking a Senior Data Scientist to lead the development and deployment of agentic AI frameworks for our Growth Projections LLM Experiments, a critical component of the AI for Bids initiative.
• This role centers on leveraging advanced reasoning models and agentic architectures to improve the forecasting of membership growth, enhance bid strategies, and deliver actionable insights for the organization.

Key Responsibilities:

• Architect, build, and refine agentic frameworks using state-of-the-art LLMs (e.g., OpenAI o3, Gemini 2.5 Pro) to automate and orchestrate growth projection workflows.
• Design multi-agent systems capable of integrating diverse data sources, conducting stepwise reasoning, and synthesizing strategic intelligence for bid-related scenarios.
• Develop robust pipelines for the ingestion and transformation of public (CMS, SEC, KFF) and internal data, enabling agents to operate with contextual awareness and domain expertise.
• Collaborate with subject matter experts to encode domain knowledge and strategic heuristics into agent behaviors and decision-making processes.
• Conduct systematic back-testing and scenario analysis, benchmarking agentic outputs against actual growth results and internal projections.
• Communicate complex findings and recommendations to technical and business stakeholders, supporting data-driven decision-making in bids and growth strategy.
• Ensure compliance with data governance and security standards when deploying agentic models in production environments.
• Stay informed of the latest advancements in agentic AI, generative models, and large language model orchestration.

Qualifications:

• Advanced degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.
• Minimum of 4 years’ experience in data science or machine learning, with demonstrated expertise in agentic AI systems, LLMs, and multi-agent orchestration.
• Proficiency in Python, SQL, and relevant libraries (e.g., pandas, scikit-learn, langchain, transformers).
• Experience building and deploying agentic frameworks for real-world analytical applications, preferably in healthcare or insurance.
• Strong understanding of public healthcare datasets and business intelligence platforms.
• Ability to translate strategic requirements into technical agent behaviors and workflows.
• Excellent communication skills, with a track record of supporting business strategy through advanced analytics.