Senior Data Scientist, Analytics (Relo to SF)
Join Airwallex as a Senior Data Scientist, Analytics, and help drive global payments and financial solutions from our San Francisco office.
About Airwallex
Airwallex is a unified payments and financial platform for global businesses.
Powered by proprietary infrastructure and software, we enable over 200,000 companies—including Brex, Rippling, Navan, Qantas, SHEIN and many more—to manage business accounts, payments, spend, treasury, and embedded finance at scale.
Attributes We Value
We hire builders with founder-like energy who desire real impact, rapid learning, and ownership.
Strong role-related expertise, sharp thinking, and motivation by our mission and principles are essential.
We value humility, collaboration, and the drive to get things done end-to-end, using AI to solve problems faster.
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.
Serve as the subject-matter expert for all Marketing KPIs, consulting on data-related projects.
Partner with Marketing stakeholders to objectively measure campaign performance and identify actionable insights.
Develop data-driven Marketing forecasts and budgets to inform organizational planning.
Collaborate with Marketing, Sales, and Product teams to identify opportunities for improvement in strategies and campaigns.
Support experiments to measure impact of ad spend, brand campaigns, and other initiatives.
Qualifications
5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g., Statistics, Engineering, Sciences, Computer Science, Economics).
2+ years of experience in Marketing Analytics or a similar role.
Experience with digital marketing channels, including email, paid ads, and SEO.
Experience communicating analysis results to executives and cross-functional teams to influence strategy.
Expertise in SQL, Python, and/or statistical/mathematical software (e.g., R).
Experience with schema design and dimensional data modeling is 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.
Applicant Safety Policy: Fraud and Third-Party Recruiters
To protect you from recruitment scams, Airwallex will not ask for bank details, sensitive ID numbers, 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 and will not pay fees unless an agreement exists.
Equal Opportunity
Airwallex is proud to be an equal opportunity employer.
We value diversity and consider each applicant based on merit, qualifications, competence, and talent.
We do not 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 hiring decisions.
If you have a disability or special need that requires accommodation, please let us know.
Compensation Range: $150K – $250K
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