Senior Data Scientist, Analytics (Risk & Payments)

The role

You will design and run experiments to improve the payment product experience and payment success rates. You will build measurement frameworks and metrics that guide product strategy, and mentor junior data scientists.

What you will do

• Design and implement frontend experiments to improve the payment product experience and payment success rates
• Identify and quantify opportunities to 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 north star metrics for data-driven decisions across teams
• Communicate data insights and recommendations to technical and non-technical audiences
• Mentor and coach junior data scientists
• Act as the single-threaded technical owner on cross-functional initiatives

Required qualifications

• 7+ years industry experience
• Degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
• 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

Nice to have

• Advanced degree (MS or PhD)
• Experience with data modeling
• Experience in technology, financial services and/or a high growth environment

About the company

Airwallex is an AI-native financial operating system used by more than 675,000 businesses. It has more than 2,700 people across 27 offices, with co-headquarters in San Francisco and Singapore.