Airwallex

More roles at Airwallex

Staff Data Scientist, Algorithm, Growth

Hybrid

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

Hybrid · US - San Francisco

Employer listed it 2 weeks ago · Added 2 weeks ago

Been open since 2 weeks ago, still being checked, but it has been live a while.

Salary

$250k to $299k 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: You’ll be based in San Francisco and work from the office three days a week.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
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" and three days a week in the office

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

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.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

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.

How you'll make impact

You’ll shape the next phase of Airwallex’s growth by building data science systems that improve how we acquire, activate, engage, retain, and expand customers globally.

Design, deploy, and iterate on predictive models, personalization and recommendation systems, LLM-powered applications, incentive optimization frameworks, and causal inference models that drive measurable business outcomes.

Partner with Growth, Marketing, Product, Sales, Engineering, and other cross-functional teams to turn data and AI into clear recommendations, stronger investment decisions, and effective go-to-market strategies.

Measure the causal impact of marketing and growth initiatives, identify what’s working, and translate those findings into action.

Raise the technical bar for the data science team through hands-on leadership, mentorship, and a clear vision for longer-term direction.

You’ll be based in San Francisco and work from the office three days a week.

What we're looking for

Essentials

7+ years of industry experience and an advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, the Sciences, Computer Science, or Economics.

Expert knowledge of machine learning and statistical modelling for data-driven growth strategy.

Hands-on experience building, deploying, and maintaining machine learning models in production-grade systems, including cloud-based services and real-time or batch pipelines.

Strong experience with data querying languages such as SQL and scripting languages such as Python.

Experience applying machine learning and statistical models to measure the causal impact of marketing or growth initiatives.

Strong experience in AI harness and building AI agents.

Preferred

Experience with schema design and dimensional data modelling.

Experience communicating analysis and recommendations to leadership and cross-functional teams to influence strategy.

Experience in technology, financial services, or a high-growth environment.

Experience providing technical mentorship on machine learning and experimentation in an industry setting.

Requirements

·Applicant Safety Policy: Fraud and Third-Party Recruiters

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 15d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.