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Head of Growth Data Science

airwallexUS - San FranciscoEngineering
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Salary
$300K – $320K
Job type
Full-time
Work mode
Remote
Experience
Lead · 10+ yrs
Posted
7 Oct 2026
Status
Open · checked 7d ago

About this role

Based in San Francisco, the Head of Growth Data Science role at Airwallex directs the analytical and machine learning strategies that accelerate global business expansion. This position suits an experienced data leader who excels at partnering with executive stakeholders to optimize customer lifecycles and scale financial infrastructure operations.

Role Overview

Airwallex is seeking a Head of Growth Data Science to lead the department responsible for utilizing advanced analytics, experimentation, and data science to drive international growth. This full-time position operates out of the San Francisco office. The chosen candidate will guide cross-functional strategies across acquisition, activation, conversion, retention, and expansion while collaborating closely with leadership in Product, Marketing, Sales, and regional business units.

Key Responsibilities

Act as a strategic data partner to senior leaders across Growth, Product, Marketing, Sales, and regional operations.
Translate complex analytical findings into clear recommendations that shape business strategy and investment decisions.
Establish a consistent, trusted framework for measuring growth performance across various markets, channels, and customer segments.
Lead analytical efforts spanning the complete 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 providing 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.

Requirements

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 like Databricks, Snowflake, dbt, or Airflow.
Proven ability to translate analytical insights into measurable business outcomes.
Experience productionizing Generative AI applications, intelligent analytics tools, or agentic workflows.

Nice to Have

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.

Skills and Tools

SQL
Python
R
Databricks
Snowflake
dbt
Airflow
Machine Learning
Generative AI
Causal Inference

Salary and Benefits

Salary range of $300,000 to $320,000
Offers Equity
Offers Bonus

About the Company

Airwallex is an AI-native financial operating system powering a real-time, intelligent economy for more than 675,000 businesses globally, including notable names like McLaren Racing, Qantas, SHEIN, and TikTok. Founded in Melbourne in 2015, the company operates as the regulated backbone behind global payments with an infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific. Co-headquartered in San Francisco and Singapore, Airwallex employs over 2,300 people across 27 offices worldwide.

How to Apply

Candidates should apply exclusively through the official Airwallex careers page or its official LinkedIn page.

Skills and tech stack

SQLPythonRDatabricksSnowflakedbtAirflowMachine LearningGenerative AI

Questions candidates ask

Where is this job located?

This full-time role is based in San Francisco, USA.

What is the salary and compensation structure for this position?

The salary ranges from $300K to $320K, and the position includes offers for equity and a bonus.

How many years of experience are required?

Candidates must have 10+ years of experience in data science, analytics, quantitative strategy, or applied machine learning, including at least 5 years managing and developing high-performing technical teams.

What programming languages and technical tools are required?

Strong proficiency in SQL and Python or R is required, along with experience working with modern data platforms and tooling such as Databricks, Snowflake, dbt, or Airflow.

How should I submit my application safely?

Applicants should apply only through careers.airwallex.com or the official Airwallex LinkedIn page. Airwallex will never ask for bank details, sensitive ID numbers, or payment during the hiring process.

Ready to apply?

The application is on the official airwallex careers page.

Apply on company site