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Logo Airwallex

Staff Data Scientist, Product Analytics

Airwallex

LokasiSG - Singapore
NegaraSingapura
Tipe kerjaOnsite
StatusFull-time
Diposting16 Januari 2026

Deskripsi pekerjaan

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech. Learn more about the data science team in this blog. https://careers.airwallex.com/blog/data-science-leader/

What you'll do

You will partner closely with Product, Engineering, and cross-functional stakeholders to solve complex product problems and shape strategy through data. In this role, you will use quantitative analysis, experimentation, and statistical thinking to identify opportunities, measure product performance, and turn insights into clear recommendations that drive roadmap and investment.

This role is based in Singapore.

RESPONSIBILITIES:

  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  • Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

MINIMUM QUALIFICATIONS:

  • Minimum 6 years of industry experience and a degree in a quantitative field
  • Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy
  • Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). Experience in schema design and dimensional data modeling a plus
  • Ability to perform statistical analysis to drive data-informed decisions

PREFERRED QUALIFICATIONS:

  • Experience in technology, financial services and/or a high growth environment is advantageous

#singapore

APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

EQUAL OPPORTUNITY

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

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