Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy, and consent to receive emails from Rise
Jobs / Job page
Data Scientist, Algorithm (Growth) image - Rise Careers
Job details

Data Scientist, Algorithm (Growth)

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 150,000 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 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

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. You 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. If that sounds like you, let’s build what’s next.

We’re seeking a Senior Data Scientist to partner closely with the Marketing team to derive actionable data-driven insights and to directly impact business outcomes. You will develop key Marketing reports, drive deep-dive analyses, and stay on top of market trends to develop and optimize our Marketing strategies. You’re naturally curious and have a track record of offering recommendations to enhance our brand presence and drive business growth.

You’ll join the Airwallex team during a critical period, where we are building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution. This is a great opportunity to shape the next phase of Airwallex’s growth.

What you will do:

  • Develop predictive models to identify high-value users for Marketing and Commercial teams

  • Apply machine learning and/or statistical models to measure causal impact of Marketing initiatives

  • Develop attribution models to quantify the impact of different campaigns, channels, and other initiatives on conversions

  • Design and implement experiments to measure impact of ad spend, brand campaigns, and other Marketing initiatives

  • Partner with Marketing, Commercial, Engineering, and cross-functional teams to inform, influence, support, and execute GTM strategy and investment decisions

Qualification

  • 3+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)

  • Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy

  • Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus

  • Expert in machine learning and statistical modeling to drive data-informed decisions, experience with deploying production machine learning models a plus

  • Experience in technology, financial services and/or a high growth environment is advantageous

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.

Airwallex does not accept unsolicited resumes from search firms/recruiters.  Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s).  Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. If you are approached by someone claiming to represent Airwallex, please verify with our team.

Airwallex Glassdoor Company Review
No rating Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon
Airwallex DE&I Review
4.1 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
CEO of Airwallex
Airwallex CEO photo
Unknown name
Approve of CEO

Average salary estimate

$185000 / YEARLY (est.)
min
max
$150000K
$220000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

Similar Jobs
Photo of the Rise User

Lead the development and scaling of B2B affiliate and influencer programs at Airwallex to drive awareness, demand, and measurable revenue growth across the US and Canada.

Photo of the Rise User
Posted 7 hours ago

A paid, 11-week graduate internship at Xumo/Comcast focused on building and evaluating ML models and data pipelines to improve streaming experience and content discovery.

Photo of the Rise User

Lead a team at Voleon to improve ML-driven trading strategy implementation across market microstructure, securities lending, and portfolio financing while moving research into production.

Photo of the Rise User

Foodsmart is hiring a Staff Data Scientist to build and operationalize supply-and-demand forecasting and optimization models that drive marketing, financial forecasting, and RD workforce planning.

Zeely Inc. Hybrid No location specified
Posted 2 hours ago

Zeely is hiring an AI Prompt Engineer to design scalable prompt systems and production-grade generative pipelines that power our AI-driven marketing platform.

Posted 2 hours ago

Lead a high-performing data science team at Snap to drive ad ranking, auction optimization, experimentation, and measurement that improve marketplace efficiency and product outcomes.

Photo of the Rise User
Posted 13 hours ago

Lead and deploy production-grade machine learning systems for a mission-driven real estate tech company, delivering scalable pipelines and measurable product impact (Remote, US).

Photo of the Rise User
Posted 36 minutes ago

Lead a team of data scientists to design, deploy, and maintain scalable personalization and recommendation models that improve member experiences across a high‑growth digital platform.

Photo of the Rise User
Posted 13 hours ago

Experienced data scientist needed to build and scale predictive marketing models and analytics tools that improve media performance and customer engagement for a forward-thinking digital marketing team.

Photo of the Rise User
Posted 21 hours ago
Inclusive & Diverse
Feedback Forward
Collaboration over Competition
Growth & Learning

Help define and accelerate product-market fit for OpenAI’s Codex by measuring developer productivity, designing experiments, and informing model and product improvements.

Photo of the Rise User
Posted 23 hours ago

Experienced software engineer to build and support GenAI/ML tools and data pipelines for Vitol’s global data science team, working onsite in Houston.

Photo of the Rise User

Paid summer internship for graduate students to contribute to cutting-edge ML research and production engineering in personalization, recommendation systems, and NLP at a US-remote placement.

Photo of the Rise User
Mercury Hybrid San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Posted 11 hours ago
Dare to be Different
Diversity of Opinions
Inclusive & Diverse
Empathetic
Take Risks

Senior Data Scientist (Fraud) to design and deploy ML-driven fraud detection, monitoring, and investigative analytics across Mercury’s risk systems for startups.

Posted 6 hours ago

An expanding consumer apparel e-commerce brand seeks an AI & Automation Strategist to architect and deploy AI/ML-driven automation across core business functions while partnering directly with leadership.

MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
October 2, 2025
Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!