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Senior Data Scientist (Product Analytics)

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

Текст:
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TL;DR
Senior Data Scientist (Product Analytics): Solving complex product problems and shaping strategy through quantitative analysis and experimentation with an accent on product performance measurement and data-informed recommendations. Focus on identifying growth opportunities, goal setting, and forecasting key product metrics to drive investment.

Location: Singapore

Company

Airwallex is a global payments and financial platform providing business accounts, payments, spend management, treasury, and embedded finance solutions.

What you will do

  • Identify, define, and test product opportunities and improvement levers.
  • Analyze large and complex datasets using quantitative and statistical methods.
  • Design experiments and apply data mining to develop product strategies.
  • Define goals, forecast outcomes, and monitor product metrics and trends.
  • Partner with Product, Engineering, and cross-functional teams to influence product strategy, roadmaps, and investment decisions.
  • Present analytical findings and recommendations to executives and business stakeholders.

Requirements

  • At least 5 years of industry experience and a degree in a quantitative field.
  • Expertise in data querying languages such as SQL, scripting languages such as Python, and/or statistical software such as R.
  • Ability to perform statistical analysis and communicate results to executives and cross-functional teams.
  • Experience using quantitative analysis, experimentation, data mining, and product metrics to support data-informed decisions.

Nice to have

  • Experience with schema design and dimensional data modeling.
  • Experience in technology, financial services, or a high-growth environment.

Culture & Benefits

  • Collaborative work with Product, Engineering, Marketing, Sales, Finance, and other functions.
  • Exposure to complex, high-visibility problems in global fintech.
  • Work with a distributed data science, data engineering, and platform team spanning Australia, China, the USA, and Singapore.
  • Emphasis on ownership, curiosity, first-principles thinking, speed, and rigorous decision-making.

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