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1 день назад

VP, Data Science

180 000 - 310 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
VP, Data Science (AI/ML): Defining data science strategy, leading teams, and delivering production machine learning initiatives aligned with business objectives, with an accent on statistical modeling, ML lifecycle management, and measurable business outcomes. Focus on building high-performing teams, establishing scalable tooling and infrastructure, and translating complex analytical work into decisions for executives and other non-technical stakeholders.

Location: United States, Remote

Compensation: $180K–$310K annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

  • Own the data science strategy and roadmap in alignment with business objectives and AI/ML transformation initiatives.
  • Build and lead a high-performing data science organization, including hiring, coaching, and performance management across analytics, modeling, and ML engineering.
  • Partner with product, engineering, and business leaders to identify high-impact opportunities and define analytical and modeling projects.
  • Drive data science initiatives from problem definition and experimentation through production deployment, measurement, monitoring, and iteration.
  • Establish best practices, tooling, and infrastructure to improve time-to-insight and model velocity.
  • Communicate findings and recommendations to executives, product managers, and other non-technical stakeholders.

Requirements

  • 8+ years of experience in data science, analytics, or machine learning, including 3–4 years leading or managing a data science team.
  • Experience defining and executing data science strategies that deliver measurable business outcomes.
  • Deep technical fluency in statistical modeling, machine learning, and programming with Python, R, and SQL.
  • Experience building and deploying production models and understanding the full ML lifecycle.
  • Strong communication skills, including the ability to explain complex analytical concepts to non-technical audiences.
  • Track record of recruiting, developing, and retaining strong technical talent.

Culture & Benefits

  • Permanent remote work from the United States.
  • Opportunity pipeline focused on senior data science leadership roles.
  • Potential roles span technology, financial services, and professional services.

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