Senior Data Scientist

Senior Data Scientist II South San Francisco, CA Overview We are seeking a Data Scientist II (Senior Level) to support high-impact AI/ML initiatives within a regulated environment. This role focuses on advancing targeting models and delivering scalable, production-ready solutions that drive measurable business outcomes. The ideal candidate combines strong technical expertise with hands-on experience in model development and demonstrates the ability to work independently while collaborating effectively with cross-functional teams. Key Responsibilities Model Development & Optimization • Design, develop, and optimize machine learning models to improve targeting accuracy and overall business performance • Apply advanced Machine Learning and Deep Learning techniques to enhance existing models and build new solutions Feature Engineering & Data Preparation • Build scalable feature engineering pipelines to transform complex and raw datasets into high-quality model inputs • Work with large, unstructured datasets (e.g., claims data), ensuring data integrity and usability Production & Pipeline Scalability • Convert analytical models into robust, production-ready pipelines • Maintain high standards for code quality, documentation, and best practices • Support model deployment, monitoring, and continuous performance optimization Cross-Functional Collaboration & Communication • Partner with data science, analytics, and business stakeholders to translate business needs into technical solutions • Clearly communicate model methodologies, assumptions, and insights to both technical and non-technical audiences Qualifications Required • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field • 5+ years of hands-on experience in data science and machine learning • Proven experience delivering models from ideation to production • Strong proficiency in Python, SQL, and AWS • Deep expertise in Machine Learning and/or Deep Learning techniques • Experience working with large-scale, complex datasets in collaborative environments Preferred • Experience in healthcare, pharmaceutical, or other regulated industries • Hands-on experience with claims data or similarly complex datasets • Understanding of data privacy, compliance, and governance requirements • Experience with MLOps practices, including pipeline automation, deployment, and monitoring What We’re Looking For • A self-driven, senior-level contributor who can lead model development initiatives • A strong team player who collaborates effectively without requiring sole ownership • A professional who balances technical excellence with business impact, delivering scalable and meaningful solutions Additional Notes • This is a Level II role, requiring strong technical depth and real-world AI/ML application experience Candidates must be comfortable working in a fast-paced, collaborative, and regulated environment