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7 часов назад

Staff Data Scientist, Product Analytics (Fintech)

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

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TL;DR

Staff Data Scientist (Product Analytics): Solving complex product problems and shaping strategy through quantitative analysis and experimentation with an accent on product performance and roadmap influence. Focus on designing statistical frameworks, mining large datasets, and delivering actionable insights to executives.

Location: Based in Singapore

Company

hirify.global is a unified payments and financial platform for global businesses, empowering over 200,000 companies worldwide with integrated financial solutions.

What you will do

  • Partner with Product and Engineering stakeholders to solve complex product problems and shape strategic roadmaps.
  • Utilize quantitative analysis and statistical thinking to identify growth opportunities and measure product performance.
  • Work with large, complex datasets using various analytical approaches to solve business problems.
  • Develop and monitor key product metrics, performing forecasting and goal setting to track success.
  • Influence investment decisions by presenting data-driven recommendations to cross-functional teams.

Requirements

  • Minimum 6 years of industry experience and a degree in a quantitative field.
  • Expert proficiency in SQL and scripting languages such as Python or R.
  • Proven ability to perform complex statistical analysis to drive data-informed decisions.
  • Experience communicating analytical results to executives to influence business strategy.
  • Must be based in Singapore.

Nice to have

  • Experience in technology, financial services, or high-growth environments.
  • Knowledge of schema design and dimensional data modeling.

Culture & Benefits

  • Opportunity to work in a high-impact, founder-like environment with true ownership.
  • Collaborative culture with a global team spanning Australia, China, USA, and Singapore.
  • Focus on accelerated learning and solving high-visibility problems.
  • Emphasis on using AI to work smarter and solve problems faster.

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