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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:** Artificial Intelligence, Airflow, Data Infrastructure, Python (Programming Language), Machine Learning, Real-Time Operating Systems, SQL Databases, Snowflake, Generative AI, Information Technology, Tools for Reporting, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/head-of-growth-data-science-san-francisco-ca--bb6d5d70-6af3-465e-a80b-5b409563b6bd

## About the Role

Data Science, Financial Operations, Artificial Intelligence (AI), Financial Systems, Realtime Operating System, Data Science, Sales, Marketing, Team Lead/Manager, Product Marketing, * 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.
 * A 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.
 * Deep expertise in experimentation, causal inference, forecasting, applied machine learning, SQL, and Python or R.
 * 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.
 * A proven ability to translate analytical insights into measurable business outcomes.
 * Experience productionizing generative AI applications, intelligent analytics tools, or agentic workflows.
 * The ability to prioritize ambiguous problems, balance trade-offs, and focus teams on initiatives with measurable growth impact.
 * The ability to engage deeply with technical work while building scalable systems, analytical frameworks, and team practices.
 * Clear communication skills, with the ability to influence senior stakeholders through rigorous analysis and practical recommendations.
 * A customer-centric approach to understanding behavior and using data to create better experiences and stronger business outcomes., * An 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., * You're comfortable owning the roadmap yourself.
 * You're comfortable making decisions with incomplete information and moving quickly anyway.
 * You're not precious about your ideas. You push hard for what you believe in, but you pivot fast when the data says otherwise.
 * You can advocate hard for a position, then fully support the team's direction once a call is made.
 * You connect dots across functions and hold the big picture without losing grip on the details.

## Description

Growth is becoming a more measurable, intelligent system across product, sales, and marketing. You'll lead the data science team that turns customer and business signals into better growth decisions and measurable outcomes.

 * Lead the team responsible for using data, experimentation, and advanced analytics to accelerate Airwallex's global growth.
 * Partner with Product, Marketing, Sales, and regional business leaders to identify opportunities across acquisition, activation, conversion, retention, and expansion.
 * Define a consistent measurement framework across markets, channels, and customer segments, and turn complex analysis into clear recommendations that shape strategy and investment decisions.
 * Set the roadmap for machine learning, generative AI, experimentation, causal inference, forecasting, and intelligent decision systems across growth.
 * Build and scale analytical products, models, and tools that improve targeting, automate insight generation, connect operating drivers with financial outcomes, and guide next-best actions.
 * Partner with engineering and data platform teams to productionize models and analytical products, while building a high-performing, technically rigorous team.