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Описание вакансии
Текст:
TL;DR
Director of Data Science (AI): Leading the development of forecasting engines, causal inference frameworks, and AI-driven data products for executive decision-making with an accent on macroeconomic analysis, strategic planning, and applied machine learning. Focus on building production-grade models and agentic workflows, scaling data science and engineering teams, and translating complex insights into corporate strategy.
Location: San Francisco, United States; full-time, based in San Francisco
Salary: $300K–$320K base pay annually, plus potential equity and bonus
Company
Airwallex provides an AI-native financial operating system and global payments infrastructure for businesses and financial product builders.
What you will do
- Advise the CEO, CFO, and regional business leaders by translating complex data into actionable business strategies.
- Own the global forecasting engine, including statistical models that combine top-down and bottom-up forecasts for planning and capital allocation.
- Lead causal inference frameworks to measure the impact of macroeconomic changes and internal interventions.
- Define the Generative AI and machine learning roadmap for automated insights, operational efficiency, and proprietary data products.
- Scale and lead a team of data scientists and engineers, covering hiring, performance management, and technical excellence.
Requirements
- 10+ years of experience in data science, analytics, quantitative strategy, or applied machine learning, including 5+ years leading technical teams.
- Advanced experience with causal inference, time-series forecasting, and production machine learning models.
- Expert proficiency in SQL and Python or R, with experience using modern data stacks such as Airflow, Databricks, dbt, and Snowflake.
- Experience working directly with C-suite or VP-level executives to influence corporate strategy through data.
- Experience productionizing Generative AI applications or agentic workflows for business intelligence and reporting.
- Bachelor’s or Master’s degree in a quantitative discipline, or equivalent practical experience.
Nice to have
- Advanced degree in econometrics, statistics, machine learning, or another highly quantitative field.
- Experience in fintech, global payments, or high-growth B2B SaaS.
- Experience in a CEO Office or corporate strategy function.
- Familiarity with global macroeconomic indicators and cross-border transaction data.
Culture & Benefits
- Fast-scaling environment emphasizing founder-level ownership, curiosity, good judgment, and first-principles thinking.
- US-based employees may receive medical, dental, and vision insurance, a 401(k), disability and life insurance, and well-being benefits.
- US-based employees receive 20 paid vacation days and 12 company holidays annually.
- Additional compensation may include equity, annual bonuses, commissions, or RSUs.
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