Senior Data Scientist II

Senior Data Scientist (Level II) Senior Data Scientist (Level II)Overview We are seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes. The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams. Key ResponsibilitiesModel Development & Optimization • Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance • Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions Feature Engineering & Data Preparation • Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs • Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability Production & Pipeline Scalability • Transition analytical models and scripts into robust, production-ready pipelines • Ensure code quality, documentation, and adherence to engineering and data science best practices • Support model deployment, monitoring, and ongoing performance improvements Cross-Functional Collaboration & Insight Translation • Partner with data science, analytics, and business teams to translate business problems into technical solutions • Communicate model methodologies, assumptions, and results clearly to non-technical stakeholders QualificationsRequired • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field • Minimum 5+ years of hands-on experience in data science and machine learning model development • Proven track record of taking models from ideation through production deployment • 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 within healthcare, pharmaceutical, or other highly regulated industries • Hands-on experience with claims data or similarly complex, regulated datasets • Strong 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 efforts and influence technical direction • Someone who thrives in a team environment and contributes to shared goals without needing sole ownership • A candidate who balances technical excellence with business impact, delivering scalable and meaningful solutions Additional Notes • This is a Level II role requiring demonstrated depth in both technical execution and real-world AI/ML application • Candidates must be comfortable working in a fast-paced, collaborative, and regulated environment