Staff Data Scientist

We are looking for a Staff Data Scientist to lead complex modelling and analytical projects of broad and diverse scope. You will drive cross-product initiatives with minimal direction, setting the technical approach where problems are ambiguous and raising the bar for the entire data science team.

Responsibilities

Lead complex modelling and analytical projects of broad and diverse scope; Drive cross-product initiatives with minimal direction, setting the technical approach where problems are ambiguous and raising the bar for the entire data science team; Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift; Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly; Tell stories with your data and inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line.

Requirements

Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models; OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience building predictive models; Advanced proficiency with deep learning frameworks and the core Python data science ecosystem, and a deep understanding of modern AI architectures (e.g., Transformers, Neural Networks, LLMs) and related ML fields; Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines; MLOps and hands-on experience taking models from notebook to production — Experiment tracking, packaging, containerization (Docker), model serving and APIs, CI/CD, and pipeline orchestration; Monitoring models in production – tracking data and concept drift and performance degradation, with alerting; Strong peer leadership and ability to mentor junior DS on best practices and problem solving. Experience setting and improving team standards.

Nice to have

Fluency with actuarial methods and working with actuaries is a plus; Familiarity with healthcare and medical data; Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

Benefits

A fun, team-oriented startup culture; Generous stock options; Unlimited vacation days; Flexible schedule that supports working from home; Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more; Ample opportunities to learn and take on new responsibilities; Annual performance bonus; Equity grant; Comprehensive benefits package