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Head of Growth Data Science

Airwallex· Engineering
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Hybrid (US - San Francisco)$300k - $320k + equity + bonusFull-timePosted 1w ago

About the role

Head of Growth Data Science to lead the team responsible for using data, experimentation, and advanced analytics to accelerate global growth across the customer lifecycle.

Responsibilities

  • Act as a strategic data partner to senior leaders across Growth, Product, Marketing, Sales, and regional businesses.
  • Translate complex analyses into clear recommendations that shape business strategy and investment decisions.
  • Establish a consistent, trusted framework for measuring growth performance across markets, channels, and customer segments.
  • Lead analytical efforts across the growth funnel, including acquisition, activation, conversion, retention, and expansion.
  • Identify opportunities to improve channel efficiency, customer journeys, pricing, and go-to-market performance.
  • Develop segmentation, propensity, attribution, and optimization models to inform growth initiatives.
  • Build and scale experimentation frameworks to measure the impact of product, marketing, and commercial initiatives.
  • Lead the application of causal inference techniques to distinguish correlation from true incremental impact.
  • Establish best practices for experiment design, measurement, interpretation, and decision-making.
  • Own forecasting and planning models that support growth targets, resource allocation, and business reviews.
  • Develop metrics, dashboards, and analytical tools that provide timely visibility into growth performance.
  • Partner with Finance and business leaders to connect operating drivers with financial outcomes.
  • Define the roadmap for applying machine learning and Generative AI to growth analytics and decision-making.
  • Build intelligent tools that automate insight generation, improve targeting, and enhance operational efficiency.
  • Partner with engineering and data platform teams to productionize models and analytical products.

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, Mathematics, or Engineering, or equivalent practical experience.
  • 10+ years of experience in data science, analytics, quantitative strategy, or applied machine learning.
  • At least 5 years of experience managing and developing high-performing technical teams.
  • Demonstrated experience partnering with executive and senior business leaders to influence growth strategy.
  • Hands-on experience with experimentation, causal inference, forecasting, or machine learning in a production environment.
  • Strong proficiency in SQL and Python or R.
  • Experience working with modern data platforms and tooling, such as Databricks, Snowflake, dbt, Airflow, or equivalent.
  • Proven ability to translate analytical insights into measurable business outcomes.
  • Experience productionizing Generative AI applications, intelligent analytics tools, or agentic workflows.

Skills

Required:Experience in leading data science teamsExperimentationSQLPython or RMachine Learning / Generative AI

Benefits

  • Airwallex promotes fair compensation practices.
  • US-based employees eligible for medical, dental, and vision insurance, 401(k), disability, life insurance, well-being benefits, and vacation/holidays specifics as described.
  • Details available upon request from Talent Acquisition.
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About Airwallex

Trusted Global Payments & Financial Platform

Grow your business faster with Airwallex - global business accounts, high speed transfers, multi-currency cards, online payments, embedded finance, and more.

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