Senior Data Scientist, Product Analytics
- Level
- Senior
- Work type
- On-site · SG
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
About the role
Airwallex's standard text
About Airwallex
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.
About the team
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.
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 5 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
Airwallex's standard text
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 email address. Please apply only through 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.
What this role asks for
Standard for data science / ML roles
Python · SQL
Common in data science / ML postings at any company.
70% of this description is written for the role. The rest is Airwallex's standard text, folded away below.
Read against Airwallex's other open postings on this site.
The team: Data Science HIRES STEADILY
This role is one of 8 open in Data Science. 6 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (8 of 8), SQL (8 of 8), Machine Learning (6 of 8), R (5 of 8), Airflow (3 of 8), Snowflake (3 of 8), BigQuery (2 of 8)
OTHER ROLES ON THIS TEAM
- Staff Data Scientist, Algorithm, Growth posted Oct 14
- Staff Data Scientist, Algorithm, Growth posted Oct 12
- Staff Data Scientist, Algorithm, Financial Markets posted Oct 12
- Senior Data Engineer (San Francisco) posted Oct 8
- Senior Data Engineer (Seattle) posted Oct 8
- Head of Growth Data Science posted Oct 7
- Staff Data Scientist, Product Analytics posted Jan 16
From the team and dates on Airwallex's own job board.
Salary context
5 other open postings titled Senior Data Scientist, Product Analytics state a salary: median USD 140,000 to USD 160,000 a year.
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