Airwallex

More roles at Airwallex

Head of Growth Data Science

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · US - San Francisco

Employer listed it 3 weeks ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

$300k to $320k per year

Location

Hybrid · US - San Francisco

Timezone

Not stated

Contract

Full-time

Experience

Lead

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: This is a full-time role based in San Francisco.
Contract: This is a full-time role based in San Francisco.
Experience asked for: 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.
Pay: Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around US - San Francisco, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "US - San Francisco, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

“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.”
“At least 5 years of experience managing and developing high-performing technical teams.”

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.

About the Team

Airwallex is seeking a Head of Growth Data Science to lead the team responsible for using data, experimentation, and advanced analytics to accelerate global growth.

The Growth Data Science team partners closely with Product, Marketing, Sales, and regional business leaders to identify growth opportunities across the customer lifecycle—from acquisition and activation to conversion, retention, and expansion. You will help define our growth strategy, build scalable measurement frameworks, and develop the models and insights that guide investment across markets and products.

This is a full-time role based in San Francisco.

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.

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.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Airwallex, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 20d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.