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Staff Data Scientist, Growth Analytics

Airwallex

$175,000 - $280,000
Oct 20, 2025
San Francisco, CA, US
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Airwallex is looking to solve the problem of unlocking scalable growth using data analytics by hiring a Staff Data Scientist to lead the Growth Analytics team and partner with various teams to identify opportunities and optimize strategies.

Requirements

  • 7+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
  • Proven experience mentoring or leading data science or data analytics teams
  • 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
  • Advanced degree (PhD or MS) preferred
  • Demonstrated experience applying data science to drive growth initiatives with concrete impact

Responsibilities

  • 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

Other

  • Excellent communication and interpersonal skills; proven ability to influence strategy in high-growth environments
  • Degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
  • Advanced degree (PhD or MS) preferred
  • Ability to work in a high-growth environment
  • Strong collaboration and influencing skills