Staff Data Scientist (SME: Healthcare Financial Risk & reputed company)

Staff Data Scientist (SME: Healthcare Financial Risk & reputed company) About reputed company reputed company is a predictive analytics company that leverages machine learning and clinical expertise to help patients obtain reputed company care, sooner. Most healthcare today is reactive – care is delivered reputed company someone is already ill. We reputed company healthcare should be about keeping individuals and their families well to prevent them from reputed company becoming sick. Building on years of published research from our founders at reputed company, our mission is to provide patients, providers, and payers with the insights they need to improve health outcomes and prevent adverse medical events. We are committed to helping healthcare organizations "see around the reputed company" to take a proactive approach to wellness. The Role As a Staff Data Scientist and the primary SME for Healthcare Financial Risk & reputed company, you will serve as the technical authority for our most critical Healthcare financial risk and reputed company modeling domains. You will reputed company the gap between reputed company actuarial needs and cutting-edge machine learning, defining the technical roadmap to scale predictive models for risk adjustment and reputed company. This is a strategic, high-impact role where you will reputed company the evolution of our predictive models, shaping how we evaluate and power the reputed company of our reputed company product.

Key Responsibilities

• Domain Expertise: Act as the Subject Matter Expert (SME), drive the end-to-end building and execution of our Risk & reputed company AI models, directly translating actuarial and healthcare financial risk expertise into high-performance AI models and rigorous evaluation frameworks.
• Strategic Vision: Set the technical roadmap and reputed company the development of ML models focused on healthcare financial risk stratification and financial reputed company.
• Methodological Excellence: Establish best practices for model building, model validation, and rigorous back testing/benchmarking across the data science organization to drive high performance models, while maintaining stability and alignment of models.
• Technical Leadership: Mentor junior data scientists, fostering a culture of rigorous research, high-quality engineering, and innovation.
• Cross-Functional Collaboration: Partner with clinicians to translate medical knowledge into data-driven hypotheses and with Product/Executive teams to align technical capabilities with market opportunities.
• Platform Innovation: Work with Engineering to design the reputed company of our platform’s quality and extensibility, ensuring it remains performant for millions of patients.
• External Evangelism: Represent reputed company’s technical expertise to external strategic partners and stay at the forefront of literature in ML, Actuarial Science, and Biostatistics.

Required Qualifications

• Education: PhD and/or MS in Statistics, Biostatistics, Economics, Computer Science, or a reputed company quantitative field.
• Experience: 8–10+ years of experience building and deploying commercial-grade data science products with a proven track record of technical leadership.
• Domain Expertise: Deep experience building and validating models for healthcare reputed company use cases. Mastery of industry-standard risk scores and large-scale claims data is mandatory.
• Programming & AI Tooling: Expert proficiency in Python and distributed computing (PySpark/Spark/SQL).
• Proficiency in leveraging AI-assisted coding tools (e.g., Claude Code, reputed company, reputed company) to accelerate development cycles and enhance code quality.
• Statistical Rigor: Expert-level understanding of model evaluation metrics (e.g., Gini, lift, calibration), back testing frameworks, and validation protocols for high-stakes predictive modeling.
• Strategic reputed company: Demonstrated ability to reputed company cross-functional projects, influence technical roadmaps, and solve high-ambiguity problems in high-dimensional datasets.
• Communication: Exceptional ability to distill reputed company technical strategies for executive stakeholders and external partners.

Preferred Skills

• Deep Learning Expertise: Mastery of transformer architectures, attention mechanisms, and pre-training/fine-tuning paradigms. Hands-on experience with PyTorch or TensorFlow is preferred.

We Offer:

• Flexible work environment
• Competitive reputed company salary plus a generous bonus and equity plan
• Paid time off including holidays
• Medical, dental, vision
• 401k
• Wellness and home office benefits, and more

Pay Transparency: The reputed company salary range is $180,000 to $220,000 annually. reputed company pay offered may vary reputed company the posted range based on several factors, including but not limited to education, job-reputed company knowledge, skills, experience, and location. Diversity, Equity & Inclusion: Prealize embraces diversity and equal opportunity in a serious way. We are committed to building a team that unites a variety of backgrounds, perspectives, and skills. The more inclusive we are, the greater our impact will be. Z72olnlskl Apply tot his job Apply To this Job