Senior Data Scientist, Growth
SunoFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess at least 5 years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field like Statistics, Engineering, Sciences, Computer Science, or Economics. Proficiency in data querying languages like SQL, scripting languages such as Python, and statistical/mathematical software like R is required, along with experience in schema design and dimensional data modeling. Experience with machine learning and statistical modeling is preferred, including the ability to deploy production machine learning models.
The Senior Data Scientist will develop predictive models to identify high-value users for Marketing and Commercial teams, apply machine learning and statistical models to measure the impact of Marketing initiatives, and design and implement experiments to assess the effectiveness of ad spend and brand campaigns. They will partner with Marketing, Commercial, Engineering, and cross-functional teams to inform and execute GTM strategy and investment decisions, and create key Marketing reports and drive deep-dive analyses to optimize Marketing strategies.
Cross-border payment solutions for businesses
Airwallex provides cross-border payment solutions for businesses of all sizes, including small to medium-sized enterprises and large corporations. The company offers a range of financial services such as multi-currency accounts, international money transfers, foreign exchange services, and payment gateway solutions. These services are designed to facilitate efficient and cost-effective international transactions. Airwallex uses advanced technology to ensure that these transactions are fast and secure. Unlike many competitors, Airwallex focuses on building financial infrastructure that supports the digital economy, allowing businesses to operate seamlessly across borders. The company's goal is to simplify global payments and make them accessible to businesses worldwide.