Principal Data Scientist (AI)

TL;DR

Principal Data Scientist (AI): Building and deploying hybrid predictive models for insurance decision intelligence with an accent on deep learning, large language models, and traditional data science. Focus on solving unstructured data, long-tail prediction, and model lifecycle challenges while translating complex analysis into measurable business impact.

Location: Remote within the United States; hybrid work is available for candidates local to Boston.

Salary: $190,000–$235,000 annual base salary, plus performance bonus, equity, and benefits.

Company

hirify.global provides AI-powered decision intelligence and risk modeling solutions for insurance carriers, brokers, consultants, and specialized insurance organizations.

What you will do

• Set modeling strategy and lead complex, high-impact data science initiatives across the organization.
• Develop hybrid models combining deep learning, large language models, and traditional statistical and machine learning methods.
• Prototype, validate, deploy, and commercialize models rapidly.
• Work with big data, federated learning, unstructured data, time series, sequence modeling, GLMs, XGBoost, and Transformers.
• Communicate analytical results clearly to customers, stakeholders, and leadership.
• Build reusable packages, frameworks, and team standards that improve model development and delivery.

Requirements

• Bachelor’s degree in a relevant quantitative or technical field with 8+ years of professional data science experience, or a master’s/Ph.D. with 5+ years of experience building predictive models.
• Expert-level knowledge of deep learning, machine learning algorithms, and the Python data science ecosystem.
• Deep experience with natural language, medical data, long-tail predictions, or comparable problem spaces.
• Strong familiarity with the full MLOps lifecycle, including pipelines, model quality standards, monitoring, and drift detection.
• Experience owning long-term model impact through KPI monitoring, issue triage, technical debt management, and continuous improvement.
• Strong communication and collaboration skills, including explaining technical topics to nontechnical stakeholders and leadership.

Nice to have

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

Culture & Benefits

• Team-oriented startup culture with opportunities to take initiative and lead new projects.
• Stock options and equity participation.
• Unlimited vacation days and a flexible schedule supporting remote work.
• Medical, dental, vision, 401(k), paid parental leave, and other benefits.
• Opportunities for learning, growth, and expanded responsibilities.