Staff Data Scientist, Growth

Airwallex • San Francisco, CA

75d

About The Position

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Requirements

• 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
• Experience with communicating the results of analyses to leadership teams and cross-functional teams to influence the strategy
• Technical mentorship experience with machine learning and experimentation in an industry setting
• Expert in machine learning and statistical modeling to drive data-informed decisions, experience with deploying production machine learning models a plus
• 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

Responsibilities

• Uplevel the data science team by providing technical mentorship, assuming hands-on leadership to resolve complex problems, and setting the vision for longer term direction
• Serve as a strategic thought leader with Marketing, Growth Product, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions
• Develop predictive models to identify high-value users for Marketing and Commercial teams
• Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives
• Develop attribution models to quantify the impact of different campaigns, channels, and other initiatives on conversions
• Design and implement experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees