Data Scientist, Algorithm (Growth)

Airwallex • San Francisco, CA

89d

About The Position

We’re seeking a Senior Data Scientist to partner closely with the Marketing team to derive actionable data-driven insights and to directly impact business outcomes. You will develop key Marketing reports, drive deep-dive analyses, and stay on top of market trends to develop and optimize our Marketing strategies. You’re naturally curious and have a track record of offering recommendations to enhance our brand presence and drive business growth. You’ll join the Airwallex team during a critical period, where we are building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution. This is a great opportunity to shape the next phase of Airwallex’s growth.

Requirements

• 3+ 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 executives and cross-functional teams to influence the strategy
• 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
• Expert in machine learning and statistical modeling to drive data-informed decisions, experience with deploying production machine learning models a plus
• Experience in technology, financial services and/or a high growth environment is advantageous

Responsibilities

• 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
• Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions

What This Job Offers

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