Senior Data Scientist

JOB DESCRIPTION Job Summary

Provides senior level support for data science activities. Performs data and error analysis to improve models, and cleans and validates data for uniformity and accuracy. Executes data science and statistical analytical experiments methodically to solve various problems and positively impact various health care domains. Develops and deploys advanced machine learning models and artificial intelligence (AI) solutions that enhance Molina products and services. Leverages expertise in data science, machine learning, and AI technologies to derive insights from large datasets and create predictive models that drive business decisions. Pioneers generative AI health care solutions aimed at revolutionizing health care operations, and enhancing the member experience.

Essential Job Duties

• Extracts meaningful insights from complex datasets, identifies patterns, and interprets data to inform strategic decision-making.

• Designs, develops, and trains machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

• Develops and implements agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.

• Employs retrieval-augmented generation (RAG) patterns to improve the performance of language models - ensuring they can access and utilize external knowledge effectively to enhance their outputs.

• Fine-tunes pre-trained models for adaptation to specific tasks or datasets - ensuring optimal performance and relevance in various applications.

• Prepares data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.

• Deploys AI models into production environments, monitors performance, and adjusts as necessary to maintain accuracy and effectiveness.

• Collaborates closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.

• Stays current with the latest advancements in AI and machine learning and apply insights to improve existing models and develop new methodologies.

• Creates comprehensive documentation of models, methodologies, and results; communicates findings clearly to non-technical stakeholders.

• Partners closely with business and other technology teams to build machine learning (ML) models to improve Star ratings, reduce care gaps and support other business objectives.

• Presents complex analytical information to all level of audiences in a clear and concise manner; collaborates with analytics team and assigns and manages delivery of analytical projects as appropriate.