Staff Data Scientist, GTM
Data Scientist · Staff · Full Time
Opens Airwallex's application page
Role
What you'll do.
Airwallex is seeking a Staff Data Scientist for their Go-to-Market (GTM) team in San Francisco, focused on providing strategic data insights to drive the company's rapid global growth in fintech. The ideal candidate will leverage advanced analytics, causal inference, and AI to support executive decision-making and develop sophisticated data products.
Responsibilities
- Executive Data Partnership: Serve as the primary data partner for regional executives, providing critical insights and analytical support
- Causal Inference Analysis: Develop and apply causal inference methods to understand macroeconomic impacts on business performance
- AI-Driven Insights: Leverage artificial intelligence to generate actionable insights and improve team and business efficiency
- Forecasting Leadership: Lead comprehensive forecasting efforts by building aggregation tools, evaluating existing forecasts, and applying advanced statistical methods
- Data Product Development: Scope, design, and build data products ranging from minimum viable products (MVPs) to fully developed solutions
- Team Mentorship: Mentor junior team members, fostering an environment of technical excellence, clear communication, and proactive critical thinking
Qualifications
What we look for.
Technical
Data Querying
Advanced proficiency in SQL and scripting languages like Python and R
Data Architecture
Experience with technologies such as Airflow, Databricks, and dbt
Advanced Analytics
Expertise in causal inference methods and statistical forecasting techniques
Education
Advanced Degree
PhD or Master's degree in quantitative fields such as Statistics, Engineering, Computer Science, or Economics
Experience
Industry Experience
Minimum of 7+ years of professional experience in data science or related quantitative fields
Executive Collaboration
Proven track record of working directly with executive-level stakeholders to influence strategic decisions
Skills
Required
Causal Inference
Advanced methods for understanding complex business relationships and impacts
Statistical Forecasting
Ability to develop and validate sophisticated predictive models
Data Visualization
Skill in translating complex data insights into clear, actionable presentations
Preferred
Financial Services Knowledge
Nice to haveBackground in technology, fintech, or high-growth financial environments
Enterprise Systems
Nice to haveExperience with Excel and financial systems like Oracle
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 250,000 – 299,000
Equity·Stock options
Benefits
Global Career Opportunity
Work with a high-growth fintech company valued at $8 billion with international presence
Innovative Environment
Opportunity to tackle complex problems and shape the future of global banking
Professional Development
Accelerated learning and true ownership of impactful projects
Process
Interview steps.
- 01
Initial Screening
Review of resume and initial qualifications by recruiting team
- 02
Technical Assessment
Comprehensive evaluation of data science skills and problem-solving abilities
- 03
Executive Stakeholder Interview
Discussion of strategic thinking and ability to communicate complex insights
- 04
Final Interview
Comprehensive discussion with leadership team and potential team members
Full posting
Original listing.
About Airwallex
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 200,000 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 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, 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.
Attributes We Value
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.
About the team
The Strategic Data Science team provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify Airwallex’s rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the US, China, and Singapore.
Learn more about the data science team in this blog
What you’ll do
Responsibilities:
Be the go-to data partner for regional executives
Use causal inference methods to understand how macroeconomic events impact the business.
Leverage AI to generate insights and improve business and team efficiency.
Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.
Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.
Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.
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:
7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy.
Expertise in causal inference methods and forecasting.
Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R).
Experience with data architecture technologies such as Airflow, Databricks, and dbt.
Preferred qualifications:
Experience in technology, financial services and/or a high growth environment.
Experience with Excel and Finance systems (e.g. Oracle).
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 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.
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