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# Head of Growth Data Science

- **Company:** Airwallex US, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Analytics Applications, Data Analysis, Data Infrastructure, Python (Programming Language), Machine Learning, SQL Databases, Snowflake, Generative AI, Agentic-AI, Information Technology, Tools for Reporting, Databricks
- **Published:** October 8, 2026
- **Apply:** https://startup.jobs/head-of-growth-data-science-airwallex-3-10340894

## About the Role

* Growth-oriented leader: You have 10+ years of experience in data science, analytics, applied machine learning, or quantitative strategy, including 5+ years leading high-performing teams.
 * Strong technical foundation: You have deep expertise in experimentation, causal inference, forecasting, applied machine learning, SQL, and Python or R.
 * Strategic operator: You are comfortable prioritizing ambiguous problems, balancing trade-offs, and focusing teams on initiatives with measurable growth impact.
 * Hands-on builder: You can engage deeply with technical work while building scalable systems, analytical frameworks, and team practices.
 * Executive influencer: You communicate complex findings clearly and can influence senior stakeholders through rigorous analysis and practical recommendations.
 * Customer-centric thinker: You are passionate about understanding customer behavior and using data to create better experiences and stronger business outcomes., * 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., * Advanced degree in Econometrics, Statistics, Machine Learning, Computer Science, Economics, or a related quantitative discipline.
 * Experience in fintech, payments, financial services, or high-growth B2B SaaS.
 * Experience leading data science teams across multiple growth functions, markets, or product lines.
 * Experience with customer lifecycle analytics, marketing measurement, attribution, pricing, or sales optimization.
 * Familiarity with global payments, cross-border commerce, and regional differences in customer and market behavior.
 * Experience building data products or decision systems used by senior executives and cross-functional teams.

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## Description

* 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.