Staff Data Scientist, Algorithm, Growth

About AirwallexAirwallex 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 ouroperating principles to see it in full.Growth Data Science TeamThe Growth Data Science team sits at the center of Airwallex’s growth engine, turning data and AI into a durable competitive advantage. We build and scale advanced solutions—from predictive modeling and personalization to LLM-powered systems, incentive optimization, and causal inference—to unlock step-change growth across the customer lifecycle.Learn more about the data science team in this blog.The RoleWe’re seeking a Staff Data Scientist to partner closely with the Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that drive measurable business outcomes. In this role, you will apply machine learning models to influence how we acquire, engage, and retain customers globally.Your work will directly shape Airwallex’s growth strategy, influencing how we acquire, engage, and retain customers. You are naturally curious, business-oriented, and have a proven track record of translating data insights into actionable recommendations that strengthen brand presence and accelerate growth.Why Join NowYou’ll join the Airwallex team during a critical period, where we are building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution. This is a great opportunity to shape the next phase of Airwallex’s growth.ResponsibilitiesUplevel the data science team by providing technical mentorship, assuming hands-on leadership to resolve complex problems, and setting the vision for longer term directionServe as a strategic thought leader with Marketing, Growth Product, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions Design and deploy a range of data science solutions—including predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models—to drive measurable business outcomesApply machine learning and/or statistical models to measure causal impact of Marketing initiativesQualifications7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)Experience with communicating the results of analyses to leadership teams and cross-functional teams to influence the strategyTechnical mentorship experience with machine learning and experimentation in an industry settingExpert in machine learning and statistical modeling to drive data driven growth strategyHands on experience building, deploying, and maintaining machine learning models in production-grade systems (e.g., cloud-based services, real-time and batch pipelines).Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python); experience in schema design and dimensional data modeling a plusExperience in technology, financial services and/or a high growth environment is advantageousApplicant Safety Policy: Fraud and Third-Party RecruitersTo 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 opportunityAirwallex 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.Compensation Range: $250K - $299KLocationUS - San FranciscoEmployment TypeFull timeLocation TypeHybridDepartmentEngineeringData ScienceCompensation$250K – $299K • Offers Equity • Offers BonusAirwallex promotes fair compensation practices in accordance with applicable national, federal, state, and local law.These expected base pay ranges are based on information at the time this post was generated and represent the company’s good faith minimum and maximum ranges for this role at the time of posting.The actual compensation offered to a candidate will be dependent upon multiple factors, including but not limited to relevant experience, skills and other qualifications, geographic location as noted, internal equity, and other external market factors.Certain roles may be eligible for other compensation including, but not limited to, annual bonuses, commissions, RSUs, or other forms of compensation in addition to the established salary range.Benefits vary by country and employment type in accordance with local statutory requirements. All employees receive at least the statutory minimum for paid annual leave and public holidays, with many of our locations offering additional company-provided vacation days.For example, for US-based employees, they are eligible to participate in medical, dental, and vision insurance, a 401(k) plan, short-term and long-term disability, basic life insurance, and well-being benefits. US-based employees also receive 20 paid days of vacation and 12 paid days of company holidays in a calendar year.Further details about our compensation and benefits package are available upon request by contacting our Talent Acquisition team.