Staff Data Scientist, Analytics (Payments)

Data Scientist · Staff · Full Time

SG - SingaporeSGD 120k – 180k6mo ago
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Role

What you'll do.

Staff Data Scientist role at Airwallex focusing on payments analytics and experimentation. The role involves designing frontend experiments to improve payment success rates, building measurement frameworks, and driving data-informed product decisions. Requires 7+ years of experience with strong SQL/Python skills and expertise in experimentation and causal inference.

Responsibilities

  • Experiment Design and Implementation: Design and implement rigorous frontend experiments to improve payment product experience and payment success rates
  • Product Opportunity Identification: Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights
  • Business Problem Translation: Translate open-ended business problems into clearly defined data science initiatives
  • Measurement Framework Development: Build scalable measurement frameworks and strategic north star metrics to enable consistent, data-driven decision-making across teams
  • Stakeholder Communication: Communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
  • Team Leadership and Mentorship: Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives

Qualifications

What we look for.

Technical

  • Programming Languages

    Strong skills in SQL and Python/R for data analysis and modeling

  • Experimentation and Causal Inference

    Proven experience in experimentation and causal inference to drive data-informed product decisions

  • Data Modeling

    Experience with data modeling techniques and methodologies

  • Statistical Analysis

    Advanced statistical analysis skills for complex data problems

Education

  • Quantitative Degree

    Degree in a quantitative field (Statistics, Engineering, Sciences, Computer Science, Economics)

  • Advanced Degree (Preferred)

    Master's or PhD in relevant field is a bonus

Experience

  • Industry Experience

    7+ years of industry experience in data science or analytics roles

  • Product Impact

    Proven track record of driving data-informed product decisions with concrete business impact

  • High-Growth Environment

    Experience in technology, financial services, and/or high-growth environments is advantageous

  • Leadership Experience

    Experience mentoring junior team members and leading cross-functional initiatives

Skills

Required

  • SQL

    Advanced SQL skills for complex data querying and analysis

  • Python/R

    Proficiency in Python or R for data science and statistical analysis

  • Experimentation

    Expertise in A/B testing, experimental design, and causal inference methods

  • Statistical Analysis

    Strong foundation in statistical methods and hypothesis testing

  • Communication

    Excellent verbal and written communication skills for cross-functional collaboration

  • Leadership

    Ability to mentor junior team members and lead technical initiatives

Preferred

  • Data Modeling

    Nice to have

    Experience with advanced data modeling techniques and methodologies

  • Financial Services

    Nice to have

    Background in fintech, payments, or financial services industry

  • Product Strategy

    Nice to have

    Experience influencing product roadmaps and strategic decision-making

  • Machine Learning

    Nice to have

    Knowledge of ML algorithms and their application to business problems

  • Big Data Technologies

    Nice to have

    Experience with large-scale data processing and analytics platforms

Tech stack

Languages

PythonRSQL

Frameworks

PandasNumPyScikit-learnMatplotlib/Seaborn

Databases

PostgreSQLBigQuerySnowflake

Tools

Jupyter NotebooksGitDockerTableau/Looker

Other

A/B Testing PlatformsStatistical AnalysisCausal Inference

Compensation

Pay and benefits.

Base·SGD 120,000 – 180,000

Equity·Stock options

Benefits

  • Equity Participation

    Stock options in a US$8 billion valued fintech company

  • Global Career Growth

    Opportunities to work across 26 offices globally with international exposure

  • Professional Development

    Accelerated learning opportunities in a high-growth fintech environment

  • Innovation Environment

    Work with cutting-edge financial technology and AI integration

  • Collaborative Culture

    Work alongside 2,000+ top-tier professionals in tech and finance

Process

Interview steps.

  1. 01

    Initial Screen

    Phone/video interview with recruiter to discuss background and role fit

  2. 02

    Technical Assessment

    Take-home case study or technical challenge focusing on data analysis and experimentation

  3. 03

    Technical Interview

    Deep-dive technical discussion with senior data scientists covering SQL, Python, and statistical methods

  4. 04

    Case Study Presentation

    Present solution to business case study to cross-functional team including product managers

  5. 05

    Leadership Interview

    Discussion with hiring manager about leadership experience and team collaboration

  6. 06

    Final Interview

    Culture fit and strategic thinking discussion with senior leadership

Full posting

Original listing.

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 including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, 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.

What You’ll Do

  • Design and implement rigorous frontend experiments to improve the payment product experience and payment success rates

  • Identify and quantify opportunities to improve and grow the payments product, and drive roadmaps with those insights

  • Translate open-ended business problems into clearly defined data science initiatives

  • Build scalable measurement frameworks and strategic north star metrics to enable consistent, data-driven decision-making across teams that directly informs product strategy

  • Communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders

  • Mentor and coach junior data scientists, and act as the single-threaded technical owner on cross-functional initiatives

Qualification

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

  • Proven experience in experimentation and causal inference to drive data-informed product decisions with concrete impact

  • Excellent communication and interpersonal skills; proven ability to influence product strategy in high-growth environments

  • Strong skills in SQL and Python/R; experience with data modeling a plus

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




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 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.

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.

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