Lead Principal Data Scientist - Generative AI and Machine Learning

Job Overview

As a Lead Principal Data Scientist, you will spearhead data science projects, mentor a talented team, and align data initiatives with our business objectives. This critical role involves developing and implementing innovative data models, collaborating with cross-functional teams, and remaining abreast of the latest industry advancements. You will ensure ethical practices in data use while communicating complex concepts to non-technical stakeholders. A key focus will be on pioneering generative AI solutions in healthcare, aiming to transform operations and enhance the member experience.

Key Responsibilities

• Research & Development : Stay up-to-date with advancements in AI and machine learning to refine existing models and develop new methodologies.
• AI Model Deployment & Governance : Implement AI models in production, monitor their performance, and comply with governance and regulatory standards.
• Innovation Projects : Lead pilot initiatives to integrate new AI technologies within the organization.
• Data Analysis : Analyze complex datasets to extract valuable insights and inform strategic decisions.
• Machine Learning Model Development : Design, develop, and train machine learning models using various algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Agentic Workflows : Develop and implement workflows utilizing AI for autonomous task execution, enhancing operational efficiency.
• RAG Patterns : Employ retrieval-augmented generation techniques to optimize language model performance.
• Model Fine-Tuning : Adapt pre-trained models for specific tasks, ensuring high-level performance.
• Data Preparation : Clean and preprocess datasets to guarantee quality inputs for modeling.
• Collaboration : Partner with cross-functional teams, integrating AI solutions into existing systems and processes.
• Documentation : Maintain thorough documentation of models and methodologies, communicating findings effectively to all stakeholders.
• Mentorship : Guide and mentor junior data scientists, fostering their development.
• Business Partnerships : Collaborate with business and technology teams to build models that enhance operational metrics and objectives.
• Presentation Skills : Clearly convey complex analytical information to diverse audiences.
• Adaptability : Stay flexible to changing business requirements and explore innovative data solutions.

Qualifications

Required Education :

Master's Degree in Computer Science, Data Science, Statistics, or a related field.

Required Skills :

Preferred Education :

PhD or additional relevant experience.

Preferred Experience :

Molina Healthcare offers a competitive benefits package. Molina Healthcare is an Equal Opportunity Employer (EOE) M / F / D / V.

Pay Range : $117,731 - $275,491 / ANNUAL