Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote1 day ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Lensa is the leading career site for job seekers at every stage of their career. Our client, Molina Healthcare, is seeking professionals. Apply via Lensa today!Job DescriptionJob SummaryResponsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model operations to meet regulatory and security standards. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization, focusing on pioneering generative AI healthcare solutions to revolutionize healthcare operations and enhance member experience.Job DutiesResearch and Development: Stay current with AI and machine learning advancements to improve existing models and develop new methodologies.AI Model Deployment, Monitoring & Governance: Deploy models, monitor performance, and ensure compliance with governance and regulatory standards.Innovation Projects: Lead pilot projects to test and implement new AI technologies.Data Analysis and Interpretation: Extract insights from datasets to inform strategic decisions.Machine Learning Model Development: Design, develop, and train models using various algorithms and techniques.Agentic Workflows Implementation: Develop workflows utilizing AI agents for autonomous tasks.RAG Pattern Utilization: Use retrieval-augmented generation techniques for better language model performance.Model Fine-Tuning: Adapt pre-trained models to specific tasks for optimal performance.Data Cleaning and Preprocessing: Prepare data for analysis ensuring high quality.Collaboration: Work with cross-functional teams to integrate AI solutions.Documentation and Reporting: Document methodologies and communicate findings effectively.Mentorship: Guide and support junior data scientists.Business Partnership: Collaborate to improve healthcare metrics like Star ratings and care gaps.Communication: Present analytical findings clearly to diverse audiences.Additional duties as required, exploring data solutions and technology opportunities.Job QualificationsRequired Education: Master’s Degree in Computer Science, Data Science, Statistics, or related field.Required Experience/Skills:10+ years’ experience as a data scientist, preferably in healthcare.Knowledge of big data technologies (e.g., Hadoop, Spark).Familiarity with relational databases and SDLC.Critical thinking and problem-solving skills.Proficiency in Python and R, experience with frameworks like TensorFlow, Keras, PyTorch.Strong understanding of statistical methods and machine learning algorithms.Experience with agentic workflows and RAG techniques.Model fine-tuning expertise.Data visualization skills (e.g., Tableau, Power BI).Database management experience (SQL, NoSQL, ETL).Analytical and innovative problem-solving abilities.Preferred EducationPHD or additional relevant experience.Preferred ExperienceExperience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio).Familiarity with NLP and computer vision techniques. #J-18808-Ljbffr

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