Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
We’re seeking a senior Data Scientist to partner closely with the Marketing team to derive actionable data-driven insights and to directly impact business outcomes. You will develop key Marketing reports, drive deep-dive analyses, and stay on top of market trends to develop and optimize our Marketing strategies. You’re naturally curious and have a track record of offering recommendations to enhance our brand presence and drive business growth.
You’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.
What You’ll Do
Analyze data to assess performance and ROI of Marketing initiatives
Develop dashboards and reports to provide observability, enabling stakeholders to make data-driven decisions
Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects
Partner with Marketing stakeholders to objectively measure campaign performance, and to identify actionable insights
Develop data-driven Marketing forecasts and budgets to inform organizational-level planning
Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in Marketing strategies and campaigns
Support experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives
Qualification
3+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
1+ years of experience in Marketing Analytics or a similar role
Experience in digital marketing channels, including email, paid ads, and SEO is highly advantageous
Experience with communicating the results of analyses to executives and cross-functional teams to influence 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
Great to have
Experience with Google Analytics, Marketo, and Salesforce
Knowledge of online A/B testing and experimentation frameworks
Experience with scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions
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.
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. If you are approached by someone claiming to represent Airwallex, please verify with our team.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead frontend development for AI-driven financial products at Airwallex, building performant React/TypeScript UIs and component systems that make intelligent automation accessible to customers.
Airwallex seeks a proactive Workplace Experience Partner to run facilities, vendor programs, and in-office employee experience for its San Francisco hub while partnering with People & Talent.
Zoox is hiring a Machine Learning Engineer to build and integrate LLM/VLM-driven solutions that automate and validate synthetic scenario generation for autonomous vehicle testing.
Support NATO ACT as a Data Scientist building and operationalizing ML/AI capabilities (NLP, CV, Generative AI) in an on-site, security-cleared contract role in Norfolk, VA.
A hands-on Supply Chain Data & Analytics Intern opportunity at Northwood to build ETL pipelines, predictive models, and reporting tools that directly influence operations and strategy in a high-tech space infrastructure environment.
Lead the architecture and production delivery of scalable ML and GenAI solutions for a global engineering marketplace, shaping technical strategy and mentoring others along the way.
Hyperexponential is hiring a Founding Actuarial Model Developer to build the US Model Development team and lead end-to-end actuarial pricing implementations using production Python and modern development practices.
Entrust is hiring a Sr. Automation Data Analyst to lead automation data strategy, build data pipelines and ML models, and operationalize AI-driven workflows across the enterprise.
Senior Python AI/ML Prototype Developer with active TS/SCI and polygraph required to build and optimize ML models and data flows for federal clients.
Rocket Lab is hiring a Senior Machine Learning Engineer I in Chantilly, VA to design, prototype, validate and deploy ML and computer vision solutions for space and defense optical systems.
Lead development and production deployment of scalable machine-learning solutions for a mission-driven real estate technology team operating across data, engineering, and product.
Experienced statistical programming manager needed to lead SAS-based dataset and output development, QC, and CRO oversight for clinical trials at REGENXBIO in Rockville, MD.
Experienced Data Scientist needed at Caterpillar to develop predictive models, deliver actionable insights, and collaborate with cross-functional teams while working onsite in Cary, NC or Irving, TX.
Lead Growth & CX analytics at Foodsmart as Director of Analytics, shaping GTM strategy, client reporting, and a self-service analytics platform while hands-on building in dbt, SQL and Python.
Lead and grow Pinterest's Conversion Visibility data science team to transform ads and measurement data into actionable insights that drive product and business growth.