Назад
Company hidden
10 дней назад

Applied Science Manager (Machine Learning)

180 000 - 300 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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
Applied Science Manager (Machine Learning): Building and leading the applied science function for a healthcare staffing marketplace, including pricing algorithms, auction mechanisms, causal models, metric definitions, and experiment frameworks with an accent on quantitative modeling and marketplace performance. Focus on prioritizing high-impact research and production work, developing scientists, and taking models from prototype to production.

Location: U.S. (Remote)

Salary: $180,000–$300,000 base annually, with total compensation of $300,000–$550,000 including equity.

Company

hirify.global operates an app-based healthcare staffing marketplace connecting healthcare professionals with workplaces across the United States.

What you will do

  • Build and lead the Applied Science function, including its roadmap, vision, and quantitative infrastructure.
  • Manage and grow a team of Applied Scientists in a player-coach role.
  • Develop pricing algorithms, auction mechanisms, causal models, metric definitions, and experimentation frameworks.
  • Set standards for marketplace measurement and communicate insights to product, engineering, finance, operations, and leadership.
  • Prioritize research, analysis, and production work based on expected business impact.
  • Partner with engineers to move models from prototype to production.

Requirements

  • Bachelor’s degree in economics, statistics, engineering, mathematics, or another quantitative field, or equivalent practical experience.
  • Experience building and deploying quantitative models in applied or research settings.
  • Fluency querying data with SQL or an equivalent tool.
  • Experience designing and analyzing controlled experiments.
  • 1–3 years of experience managing or leading a team.

Nice to have

  • Master’s or PhD in economics, operations research, statistics, engineering, or a related field.
  • Experience taking prediction models from concept to production.
  • Strong grounding in experimental design and causal inference.
  • Experience in quantitative finance, economic consulting, marketplaces, or another data-intensive environment.

Culture & Benefits

  • Remote-first environment with a distributed team of more than 1,000 people.
  • Work on products supporting healthcare professionals and workplaces across the U.S.
  • Compensation includes base salary and equity.
  • The company has been profitable since 2022.

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 →