Staff Data Scientist, Analytics (Payments)
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Requirements
- Skills needed: Experience in experimentation and causal inference. Strong communication skills. SQL proficiency. Python/R experience with data modeling a plus. Ability to influence product strategy using AI insights. Mentorship and coaching of junior data scientists, acting as the technical owner on cross-functional initiatives.
- Years of experience: 7+ years industry experience required. Proven experimentation skills are preferred but not explicitly stated in terms of duration. Advanced degree (MS or PhD) is a bonus.
- Education: Degree in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, Economics recommended with an advanced degree being advantageous.
Responsibilities
- Design and implement rigorous frontend experiments to improve the payment product experience and payment success rates
- Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights
- Translate open-ended business problems into clearly defined data science initiatives
- Build scalable measurement frameworks and strategic north star metrics to enable consistent, data-driven decision-making across teams that directly informs product strategy
- Communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
- Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives
- 7+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). An advanced degree (MS or PhD) is a bonus
- Proven experience in experimentation and causal inference to drive data-informed product decisions with concrete impact
- Excellent communication and interpersonal skills; proven ability to influence product strategy in high-growth environments
- 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
Benefits
- Equity options mentioned as part of the benefits package.
- Paid Time Off (PTO) is included among the listed perks and compensation.
- Insurance coverage provided to employees.
- Remote work opportunities available for suitable positions within Airwallex's global offices.
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