Lead Principal Data Scientist - Generative AI and Machine Learning

Overview

Join our dynamic team as a Lead Principal Data Scientist, where you will be at the forefront of generative AI healthcare solutions. This role involves leading data science projects, mentoring a talented team, and aligning data initiatives with our strategic business goals. You will drive the development and implementation of cutting-edge data models while collaborating with cross-functional teams, all while ensuring ethical data practices. Your leadership will be crucial in shaping data-driven decisions to enhance both healthcare operations and member experiences.

Responsibilities

• Research and Development : Stay updated on AI and machine learning advancements and leverage these insights to refine our existing models and create innovative methodologies.
• AI Model Deployment and Governance : Oversee the deployment of AI models, monitor their performance, and make adjustments as needed to ensure regulatory compliance and model effectiveness.
• Innovation Projects : Spearhead pilot projects that test and implement new AI technologies within our organization.
• Data Analysis : Extract actionable insights from complex datasets and interpret data to guide strategic decisions.
• Machine Learning Model Development : Design, develop, and train various machine learning models, utilizing a mix of supervised and unsupervised learning, deep learning, and reinforcement learning techniques.
• Implement Agentic Workflows : Create and implement workflows that enable AI agents to execute tasks autonomously, improving operational efficiency.
• Utilize RAG Patterns : Use retrieval-augmented generation patterns to enhance language model performance and ensure effective knowledge access.
• Model Fine-Tuning : Adapt pre-trained models for specific tasks to achieve optimal performance and relevance.
• Data Preparation : Conduct data cleaning and preprocessing to ensure high-quality inputs for modeling.
• Collaboration : Work alongside software engineers, product managers, and business analysts to seamlessly integrate AI solutions into existing systems.
• Documentation : Produce thorough documentation of methodologies and results and communicate findings to non-technical stakeholders.
• Mentorship : Provide guidance and mentorship to junior data scientists, fostering their professional growth.
• Partnerships : Collaborate closely with business and technology teams to develop ML models that enhance performance metrics like star ratings and care gap reduction.
• Effective Communication : Present complex analytical concepts clearly to diverse audiences and manage the delivery of analytical projects.
• Industry Insights : Utilize various tools and techniques to derive insights from current industry trends.

Qualifications

Preferred Education :

PhD or equivalent experience is advantageous.

Preferred Experience :

EOE Statement : We are an Equal Opportunity Employer M / F / D / V.

Pay Range : $117,731 - $275,491 annually. Actual compensation will be determined based on location, experience, education, and skill level.