Senior Data Scientist (Product Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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: Must be based in Singapore
Company
is a unified payments and financial platform for global businesses, providing integrated solutions for accounts, payments, and treasury management.
What you will do
- Partner with Product, Engineering, and cross-functional stakeholders to solve complex product problems and shape strategy.
- Use quantitative analysis, experimentation, and statistical thinking to identify growth opportunities and measure performance.
- Analyze large and complex datasets using various statistical approaches to solve business problems.
- Define success metrics, set goals, and perform forecasting and monitoring to understand product trends.
- Develop data-driven recommendations to inform and execute product strategy and investment decisions.
Requirements
- Minimum 5 years of industry experience and a degree in a quantitative field.
- Expertise in data querying languages (SQL), scripting languages (Python), and/or statistical software (R).
- Proven ability to perform statistical analysis to drive data-informed decisions.
- Experience communicating analytical results to executives and cross-functional teams to influence strategy.
- Must be based in Singapore.
Nice to have
- Experience in technology, financial services, or a high-growth environment.
- Experience in schema design and dimensional data modeling.
Culture & Benefits
- High-impact environment with a focus on true ownership and founder-like energy.
- Opportunity to work with exceptional teammates on high-visibility global problems.
- Culture of accelerated learning and decision-making from first principles.
- Encouragement to leverage AI tools to solve problems faster and work smarter.
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