Sr Data Scientist

Build Models and Products along with LLMs and GenAI on AWS Cloud Environment and Nice to have AgenticAI

Extensive experience in component designing and technical engineering/ architecture from Healthcare Claim Systems (FEP Programs working in association with BCBS) The client requires (Specialized AWS & Generative AI Expertise) a candidate with hands-on experience building models and products specifically using LLMs (Large Language Models) and Generative AI within the AWS Cloud Environment. While not mandatory, familiarity with AgenticAI is listed as a "nice to have," indicating a future focus on autonomous AI agents. Required Healthcare Domain Experience: A critical non-negotiable is extensive experience in component designing, technical engineering, and architecture specifically for Healthcare Claim Systems. The candidate must be able to translate business priorities into data science deliverables, communicate complex models to non-technical stakeholders, and collaborate to innovate organizational performance. The candidate must possess advanced knowledge of software engineering principles to build robust and scalable software, not just ad-hoc models. This is paired with a requirement for proficiency in advanced SQL across multiple syntaxes, emphasizing the need for complex data extraction and manipulation capabilities. The client values expertise beyond just building models. Skilled in the full lifecycle, including model evaluation, tuning, operationalization, and scalability. Must be able to leverage various data science tools to explore patterns, understand data limitations, and apply algorithms to derive actionable insights. Required hands-on experience building products using LLMs and GenAI on AWS.

• $100,000-245,000 per year Description Are you excited about applying your knowledge, skills and talents to solve some of the most complex problems encountered in defending our nation? Would you like to …

• 15 days ago

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