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6 дней назад

Manager, Data Science (Machine Learning)

158 000 - 185 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manager, Data Science (Machine Learning): Building and leading a data science team that develops production machine-learning models, analytical solutions, and statistical models for growth decisions with an accent on causal inference, regression, A/B testing, and predictive and prescriptive modeling. Focus on prioritizing high-impact analytical projects, scaling insights through automation, and translating complex analyses into actionable recommendations for cross-functional leaders.

Location: Hybrid in Denver, Colorado, with three days in the office on Tuesday, Wednesday, and Thursday. Candidates must live in the United States. Relocation to Denver is supported with a bonus.

Base compensation: $158,000–$185,000 per year, plus equity and a variable component.

Company

hirify.global is a performance marketing platform that helps brands deliver digital promotions through the hirify.global Performance Network.

What you will do

  • Build, lead, hire, develop, and retain a team of data scientists.
  • Partner with cross-functional leaders to identify and prioritize analytical projects that support business decisions and growth.
  • Develop and deploy machine-learning models, foundational models, and statistical analyses into production.
  • Communicate project deliverables and complex analytical solutions to internal and external stakeholders.
  • Establish automated processes to scale insights and manage core data and analytics deliverables.
  • Research industry trends and promote operational and culture-building best practices across the department.

Requirements

  • 5+ years of experience in a measurement-driven function and direct experience working with leadership.
  • 2+ years of management experience, including hiring, leading, developing, and retaining talent.
  • Bachelor’s degree in computer science, data analytics, computer engineering, or information systems.
  • Experience with causal inference, regression, A/B testing, machine learning, or advanced statistical modeling.
  • Experience with modern data analysis tools such as SQL and Python, and visualization tools such as Looker, Tableau, or Mode.
  • Current authorization to work full-time in the United States is required.

Nice to have

  • Experience in media measurement.

Culture & Benefits

  • Flexible time off and medical, dental, and vision benefits.
  • Lifestyle Spending Account, Employee Stock Purchase Program, and 401(k) match.
  • Denver office perks include paid parking, snacks, and occasional meals.
  • Values include integrity, boldness, ownership, teamwork, and transparency.

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