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

Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments infrastructure, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.

Established in 2015 in Melbourne, our purpose is to connect entrepreneurs, business-builders, makers and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, the Middle-East and North America.

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: 10 hours ago

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