Staff Data Scientist

Responsibilities

• Lead complex modeling and analytical projects of broad and diverse scope.
• Drive cross-product initiatives with minimal direction and set technical approaches for ambiguous problems.
• Apply deep learning, large language models, and traditional data science techniques to create hybrid models.
• Brainstorm, prototype, validate, deploy, and realize the value of models quickly.
• Work with big data, federated learning, unstructured data, time-series and sequence modeling, GLMs, XGBoost, and Transformers.
• Communicate data insights clearly to customers, stakeholders, and prospects.
• Take initiative and spearhead new projects.
• Build reusable systems, packages, and frameworks that elevate the data science team.
• Mentor junior data scientists and improve team standards.

Requirements

• Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or a related field and 5+ years of professional data science experience building predictive models; or a master's or Ph.D. in a 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.
• Deep understanding of modern AI architectures, including Transformers, neural networks, and large language models.
• Strong technical communication and collaboration skills, including communication with nontechnical stakeholders and collaboration with engineering and product teams.
• MLOps experience taking models from notebooks to production, including experiment tracking, packaging, Docker containerization, model serving and APIs, CI/CD, and pipeline orchestration.
• Experience monitoring production models for data drift, concept drift, performance degradation, and alerting.
• Strong peer leadership and mentoring skills.

Nice-to-haves

• Fluency with actuarial methods and experience working with actuaries.
• Familiarity with healthcare and medical data.
• Familiarity with underwriting and claims, or predicting long-tailed and rare events.

Compensation and Benefits

• Generous stock options.
• Unlimited vacation days.
• Flexible schedule supporting work from home.
• Medical, dental, and vision insurance.
• 401(k).
• Paid parental leave.
• Opportunities to learn and take on new responsibilities.