The Opportunity
As a Data Scientist III- AI Solutions you will support clients and project teams in applying artificial intelligence, machine learning, and advanced analytics to real-world operational, programmatic, and analytical challenges. This role combines hands-on technical work, client-facing collaboration, and practical problem solving to help develop AI-enabled solutions that improve decision-making, increase efficiency, and support measurable impact.
You will work with project teams, clients, senior technical staff, and business development colleagues to identify appropriate opportunities for AI application, build prototypes and analytical solutions, and contribute to innovative approaches for new business opportunities. Initially, this role will focus on health-related programs and growth opportunities spanning public health, healthcare delivery, justice programs and behavioral health, and health systems research.
This position is ideal for a technically strong, collaborative professional who enjoys translating real-world problems into practical AI and data science solutions, working closely with stakeholders, and continuing to grow expertise across implementation, client engagement, and applied innovation.
Key Roles and Responsibilities
AI and Data Science Solutions
- Support the design, development, testing, and implementation of AI, machine learning, and advanced analytics solutions that address client needs in healthcare, public health, and justice systems.
- Build, test, and refine predictive models, natural language processing solutions, and generative AI applications under the guidance of senior technical staff.
- Develop prototypes, proofs of concept, and practical applications using modern AI technologies, with support in moving successful concepts toward broader implementation.
- Apply large language models (LLMs), retrieval-augmented generation (RAG), agentic AI concepts, and machine learning techniques to defined business and program challenges.
- Contribute to data pipelines, model evaluation approaches, and analytical workflows that support reliable and scalable solutions, for government data, with focus on public health, healthcare, and justice systems.
- Follow and contribute to responsible AI practices, including model testing, validation, documentation, governan