Назад
Company hidden
обновлено 7 дней назад

Principal Data Scientist (AI)

190 000 - 235 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →