Growth Data Science Lead (Role is based in Singapore) - Airwallex

Airwallex is a global payments fintech company transforming the way businesses move and manage money globally. We have built a global financial infrastructure platform to help businesses transact, collect and pay across 130+ countries and 50+ currencies, without the constraints of the traditional global financial system. We've grown to 13 global locations and have raised over $900 million in funding. To support our ambitious growth plans, we’re looking for smart, collaborative and passionate people who are looking to make a genuine impact.

Roles & Responsibilities
• Manage and grow a globally distributed growth data science team to develop machine learning models, run experiments / causal analyses, and deliver insights to shape Airwallex’s growth strategy 
• Perform as a strategic thought leader for Data Science, Marketing, Growth Product, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions

Qualifications
• 8+ 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 management experience in data science or other relevant quantitative functions
• 5+ years of experience communicating the results of analyses to leadership teams and cross-functional teams to influence the strategy
• Passion for management and creating opportunities for career growth for team members
• Demonstrated ability to create, drive and execute impactful data roadmaps for the business
• Technical mentorship experience with machine learning and experimentation in an industry setting
• Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R); experience in schema design and dimensional data modeling a plus
• Experience in technology, financial services and/or a high growth environment is advantageous


Last updated: 12 hours ago

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