Job description

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: • 10+ years of experience as a data scientist, preferably in healthcare. • Knowledge of big data technologies (Hadoop, Spark). • Strong programming skills in Python and R. • Experience with machine learning frameworks (TensorFlow, Keras, PyTorch). • Proficient in statistical methods and machine learning algorithms. • Familiarity with AI workflows and autonomous operations. • Experience with data visualization tools (Tableau, Power BI). • Strong problem-solving and analytical skills. Preferred Education: PhD or additional relevant experience. Preferred Experience: • Experience with cloud platforms (Databricks, Snowflake, Azure AI Studio). • Familiarity with NLP and computer vision techniques. 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 • Actual compensation may vary from posting based on geographic location, work experience, education, and/or skill level.

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