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4 дня назад

Data Scientist III (Product Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist III (Product Analytics): Improving traveler experience and driving product growth through scientific rigor and statistical methods with an accent on A/B testing, causal inference, and machine learning. Focus on translating ambiguous business problems into structured analytical tasks and building scalable analytics pipelines.

Location: Flexible work model (offices available)

Company

hirify.global designs cutting-edge technology to make global travel smoother and more memorable for travelers and partners.

What you will do

  • Design and execute complex experiments using A/B testing, causal inference, regression, and multivariate analysis.
  • Apply supervised and unsupervised machine learning techniques to uncover patterns and support decision-making.
  • Translate ambiguous business problems into structured analytical tasks with actionable insights.
  • Partner cross-functionally with Product, Engineering, Risk, and Operations teams to influence strategy.
  • Build and maintain scalable, automated analytics pipelines.
  • Develop dashboards and visualizations for technical and non-technical stakeholders.

Requirements

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • 4+ years of professional experience in data science or analytics, preferably in travel, e-commerce, or fraud/risk domains.
  • Strong proficiency in SQL, Python, and/or R.
  • Hands-on experience with machine learning libraries and visualization tools (e.g., Plotly, Seaborn, ggplot).
  • Proven skills in storytelling and stakeholder management.
  • Ability to lead analytical projects and mentor junior team members.

Culture & Benefits

  • Full benefits package including generous time-off and parental leave.
  • Exciting travel perks.
  • Flexible work model.
  • Access to career development resources.
  • Inclusive work environment with a culture of belonging and celebration of differences.

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