обновлено 7 дней назад
Principal Data Scientist (AI)
190 000 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist (AI): Leading complex predictive modeling and analytical initiatives for an insurance decision-intelligence platform with an accent on deep learning, large language models, traditional data science, and MLOps. Focus on designing hybrid models, deploying them rapidly, monitoring long-term model impact, and translating complex analytics into business value.
Location: Fully remote in the United States; hybrid work is available for candidates local to Boston.
Salary: $190,000–$235,000 base salary annually, plus annual performance bonus and equity grant.
Company
provides decision-intelligence and risk modeling solutions for the insurance industry using large-scale policy and claims data enriched with economic, health, geographic, and demographic signals.
What you will do
- Lead complex, high-impact modeling and analytical initiatives and set modeling strategy across the organization.
- Develop hybrid models combining deep learning, large language models, and traditional data science techniques.
- Prototype, validate, deploy, and commercialize predictive models rapidly.
- Work with big data, federated learning, unstructured data, time-series and sequence modeling, GLMs, XGBoost, and Transformers.
- Communicate analytical findings clearly to customers, stakeholders, and prospects.
- Establish standards for model quality, speed, monitoring, and long-term impact.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or a related field with 8+ years of professional data science experience building predictive models, or a master’s/Ph.D. with 5+ years of relevant experience.
- Expert knowledge of deep learning, machine learning algorithms, and the core Python data science ecosystem.
- Deep experience with natural language, medical data, long-tail predictions, or similar problem spaces.
- Strong familiarity with all phases of the MLOps lifecycle, including creating team standards and practices.
- Experience monitoring model drift, KPIs, and business impact while addressing issues and technical debt.
- Strong communication and collaboration skills with nontechnical stakeholders and leadership.
Nice to have
- Fluency with actuarial methods and experience working with actuaries.
- Familiarity with healthcare and medical data.
- Experience with underwriting, claims, long-tailed predictions, or rare events.
Culture & Benefits
- Team-oriented startup environment with opportunities to take initiative and lead new projects.
- Stock options and equity participation.
- Unlimited vacation days and a flexible schedule supporting work from home.
- Medical, dental, vision, 401(k), paid parental leave, and other benefits.
- Opportunities to learn and take on additional responsibilities.
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