Airwallex - Senior Data Scientist, Analytics (Product)
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Requirements
• Minimum 5 years of industry experience and a degree in a quantitative field • 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 • Ability to perform statistical analysis to drive data-informed decisions • Experience in technology, financial services and/or a high growth environment is advantageous • Applicant Safety Policy: Fraud and Third-Party Recruiters • To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. • Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. • Equal opportunity
Responsibilities
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations • Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
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