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Staff Data Scientist – Global Revenue
| Company | Airwallex |
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| Location | San Francisco, CA, USA |
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| Salary | $175000 – $275000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
- Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy.
- Expertise in causal inference methods and forecasting.
- Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R).
- Experience with data architecture technologies such as Airflow, Databricks, and dbt.
Responsibilities
- Be the go-to data partner for the CEO and Regional Business Leads.
- Partner with Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business.
- Use causal inference methods to understand how macroeconomic events impact the business.
- Leverage AI to generate insights and improve business and team efficiency.
- Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.
- Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.
- Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.
Preferred Qualifications
- Experience in technology, financial services and/or a high growth environment.
- Experience with Excel and Finance systems (e.g. Oracle).
