Senior Data Scientist, GTM

Airwallex; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Job summary

A global fintech company is hiring a Mid-Senior level Data Scientist to partner with regional executives. Responsibilities include using causal inference to analyze macroeconomic impacts, leading forecasting efforts, and mentoring junior team members. Candidates should have 5+ years of experience and an advanced degree in a quantitative field like Statistics or Computer Science. The position offers a competitive salary range of $200,000 – $250,000 and is full-time in San Francisco, California.

Qualifications

• 5+ years of industry experience required.
• Expertise in causal inference methods and forecasting.
• Experience with data architecture technologies essential.

Responsibilities

• Be the go‑to data partner for regional executives.
• Use causal inference methods to understand macroeconomic impacts.
• Mentor junior team members and cultivate technical excellence.

Skills

Causal inference methods

Forecasting

Data querying languages (e.g., SQL)

Scripting languages (e.g., Python, R)

Excellent communication skills

Education

PhD or MS in a quantitative field

Tools

Airflow

Databricks

dbt

Job description

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world‑leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is building the global payments and financial platform of the future.

Attributes We Value

We hire successful builders with founder‑like energy who want real impact, accelerated learning, and true ownership. You bring strong role‑related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You’re humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end‑to‑end. Use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking.

About the Team

The Strategic Data Science team provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify Airwallex’s rapid growth. We partner across the entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly and is currently based in the US, China, and Singapore.

Responsibilities

• Be the go‑to data partner for regional executives.
• Use causal inference methods to understand how macroeconomic events impact the business.
• Leverage AI to generate insights and improve business and team efficiency.
• Lead Airwallex’s forecasting efforts by building tools that aggregate and evaluate forecasts and by applying advanced statistical methods.
• Scope and build data products—from MVPs to fully fleshed out solutions.
• Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.

Who You Are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum Qualifications

• 5+ years of industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g., Statistics, Engineering, Sciences, Computer Science, Economics).
• Excellent communication skills, ideally with a proven track record of working directly with executive‑level stakeholders to influence strategy.
• Expertise in causal inference methods and forecasting.
• Expertise in data querying languages (e.g., SQL) and scripting languages (e.g., Python, R).
• Experience with data architecture technologies such as Airflow, Databricks, and dbt.

Preferred Qualifications

• Experience in technology, financial services and/or a high‑growth environment.
• Experience with Excel and finance systems (e.g., Oracle).

Applicant Safety Policy: Fraud and Third‑Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters unless an agreement has been entered into with respect to specific open position(s).

Equal Opportunity

Airwallex is proud to be an equal‑opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence, and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Compensation Range

$200,000 – $250,000