At a Glance
- Tasks: Transform complex data into actionable insights and drive revenue growth with innovative AI solutions.
- Company: Join a forward-thinking fintech company revolutionising global banking.
- Benefits: Competitive salary, diverse team culture, and opportunities for rapid career advancement.
- Other info: Work in Singapore and be part of a diverse, equal-opportunity employer.
- Why this job: Make a real impact in a dynamic environment while collaborating with exceptional teammates.
- Qualifications: 7+ years experience in data science and strong analytical skills required.
The predicted salary is between 70000 - 90000 € per year.
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.
About The Team
We’re looking for a talented Data Scientist who can push the boundaries of our existing models and help design state‑of‑the‑art solutions to GTM challenges that accelerate revenue growth and improve commercial efficiency. In this role, you’ll partner closely with Product, Growth, and Commercial teams to shape and build the next‑generation data science foundation at Airwallex. This role is based in Singapore.
Responsibilities
- Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross‑functional partners and executive audiences.
- Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics—and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models.
- Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward‑looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable “source of truth” that helps teams make faster, better commercial decisions.
- Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible.
- Embed AI into commercial workflows: Design and deploy AI‑enabled solutions across the sales and customer lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction‑based customer insights to drive retention and expansion.
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
- 7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline).
- Strong analytical intuition and structured problem‑solving—you ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions.
- Excellent communicator and storyteller—able to translate technical work into crisp, actionable recommendations for both technical and non‑technical stakeholders, including executives.
- Deep curiosity about GTM performance and customer behavior—you go beyond “what happened” to understand “why it happened,” while staying pragmatic and focused on impact.
- Strong foundations in causal inference and forecasting, with experience applying methods such as DiD, synthetic control, and modern ML‑based approaches to real business problems.
- High fluency in analytics tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation.
Preferred Qualifications
- Experience with Databricks or similar cloud data platforms / warehouses.
- Familiarity with Hex or other notebook‑based analysis tools.
- Experience in a high‑growth startup and/or B2B business models (e.g., pipeline, CRM, RevOps data).
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.
Staff Data Scientist, GTM Analytics employer: Airwallex
At Airwallex, we pride ourselves on fostering a dynamic work environment that empowers our employees to take ownership and drive real impact. Located in the vibrant city of Singapore, our team thrives on collaboration and innovation, offering exceptional growth opportunities and the chance to tackle complex challenges alongside talented colleagues. With a strong commitment to diversity and inclusion, we ensure that every voice is heard and valued, making Airwallex an excellent employer for those looking to make a meaningful contribution in the world of global banking.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist, GTM Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees at Airwallex on LinkedIn or other platforms. Ask them about their experiences and insights into the company culture. This not only shows your interest but can also give you insider tips that might help you stand out.
✨Tip Number 2
Prepare for the interview by diving deep into the company's mission and values. Think about how your skills in data science can directly contribute to their goals. Be ready to discuss specific examples of how you've tackled complex problems in the past—this will show you're the right fit for their team.
✨Tip Number 3
Practice your storytelling skills! You’ll need to translate complex data insights into clear narratives. Try explaining your past projects to friends or family who aren’t in the field. If they understand, you’re on the right track!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Airwallex journey. Let’s build what’s next together!
We think you need these skills to ace Staff Data Scientist, GTM Analytics
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how motivated you are by our mission and how you can contribute to building the future of global banking.
Be Clear and Concise:Make sure to translate your complex experiences into clear narratives. We love a good story, but keep it crisp and focused on how your skills can help us tackle high-visibility problems.
Highlight Relevant Experience:Don’t forget to showcase your analytical intuition and problem-solving skills. We’re looking for someone who can dig deep and provide actionable insights, so make sure to include examples that demonstrate this.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Airwallex
✨Know Your Data Science Stuff
Make sure you brush up on your statistical methods and causal inference techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in revenue forecasting and GTM performance.
✨Tell a Compelling Story
Practice translating complex data findings into clear narratives. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think about how you can make your insights actionable and relatable.
✨Show Your Curiosity
Demonstrate your deep curiosity about customer behaviour and GTM performance. Prepare examples of how you've gone beyond the surface to uncover insights that drove business decisions—this will show you're aligned with their mission.
✨Be Ready to Collaborate
Highlight your collaborative spirit. Think of instances where you've worked cross-functionally to achieve results. This role is all about teamwork, so showing that you can partner effectively with different teams will be key.
