Staff Data Scientist, Growth Analytics
Data Scientist · Staff · Full Time
Opens Airwallex's application page
Role
What you'll do.
Airwallex is seeking a Staff Data Scientist to lead their Growth Analytics team, partnering with Growth, Sales, Marketing, and Product teams to drive scalable growth through advanced data science techniques. This role requires 7+ years of experience and combines technical leadership with strategic business impact in a high-growth fintech environment.
Responsibilities
- Technical Partnership: Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex's growth strategy
- Team Leadership: Lead and mentor the team in applying data science techniques including root-cause analysis, statistical modeling, and experimentation
- Growth Optimization: Drive product-led growth through acquisition, activation, retention, and reactivation strategies using data insights
- Business Impact: Establish insight-driven approaches to address key business problems and drive measurable business impact
- Framework Development: Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams
- Stakeholder Communication: Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences
- Initiative Translation: Translate open-ended business problems into clearly defined data science initiatives for team implementation
- Mentorship: Mentor and coach junior data scientists while acting as single-threaded technical owner on cross-functional initiatives
Qualifications
What we look for.
Technical
Programming Languages
Strong proficiency in SQL and Python/R for data analysis and modeling
Data Science Techniques
Expertise in root-cause analysis, statistical modeling, and experimentation methodologies
Data Modeling
Experience with data modeling techniques and frameworks
Growth Analytics
Demonstrated experience applying data science to drive growth initiatives with concrete impact
Education
Quantitative Degree
Degree in Statistics, Engineering, Sciences, Computer Science, Economics, or related quantitative field
Advanced Degree
PhD or MS preferred for advanced statistical and analytical capabilities
Experience
Industry Experience
7+ years of industry experience in data science or analytics roles
Leadership Experience
Proven experience mentoring or leading data science or data analytics teams
High-Growth Environment
Experience in technology, financial services, and/or high-growth environments advantageous
Strategic Influence
Proven ability to influence strategy in high-growth environments through excellent communication and interpersonal skills
Skills
Required
SQL
Advanced SQL skills for data querying and manipulation
Python/R
Strong programming skills in Python or R for statistical analysis
Statistical Modeling
Expertise in statistical modeling techniques and methodologies
Experimentation
Experience with A/B testing and experimental design
Leadership
Proven ability to mentor and lead data science teams
Communication
Excellent communication skills for technical and non-technical audiences
Preferred
Data Modeling
Nice to haveExperience with advanced data modeling techniques
Fintech Experience
Nice to haveBackground in financial services or fintech industry
Growth Analytics
Nice to haveSpecialized experience in growth measurement and optimization
Advanced Degree
Nice to havePhD or MS in quantitative field for deeper analytical capabilities
High-Growth Environment
Nice to haveExperience working in fast-paced, high-growth technology companies
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 180,000 – 300,000
Benefits
Global Opportunity
Work with a team of 2,000+ innovative professionals across 26 global offices
High-Impact Work
Tackle complex, high-visibility problems with exceptional teammates in a $8B valued company
Career Growth
Accelerated learning and true ownership opportunities in a fast-growing fintech
Inclusive Environment
Equal opportunity employer committed to diversity and inclusion
AI Integration
Use AI tools to work smarter and solve problems faster
Process
Interview steps.
- 01
Application Review
Initial screening of qualifications and experience
- 02
Phone/Video Screen
Initial conversation with recruiter or hiring manager
- 03
Technical Interview
Deep dive into data science skills, statistical modeling, and problem-solving approach
- 04
Case Study
Practical data science challenge related to growth analytics
- 05
Leadership Interview
Assessment of mentoring capabilities and team leadership experience
- 06
Final Round
Interviews with senior leadership and cross-functional stakeholders
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.
We’re hiring an experienced Staff Data Scientist to be the technical lead for our Growth Analytics team. You will partner with Growth, Sales, Marketing, and Product teams to identify opportunities, optimize strategies, and unlock scalable growth using data analytics.
What You'll Do
Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy
Lead and mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation)
Establish insight-driven approaches to address key business problems and drive business impact
Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy
Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
Translate open-ended business problems into clearly defined data science initiatives for the team to implement
Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives
Qualifications
7+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred
Proven experience mentoring or leading data science or data analytics teams
Excellent communication and interpersonal skills; proven ability to influence strategy in high-growth environments
Demonstrated experience applying data science to drive growth initiatives with concrete impact
Strong skills in SQL and Python/R; experience with data modeling a plus
Experience in technology, financial services and/or a high growth environment is advantageous
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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