Senior Data Scientist, Analytics (Product)

Data Scientist · Senior · Full Time

SG - Singapore6mo ago
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Role

What you'll do.

Airwallex seeks a Senior Data Scientist to join their Analytics (Product) team in Singapore, focusing on data-driven product strategy and growth optimization. The role involves working with large datasets to solve complex business problems and influence product roadmaps across the global fintech platform. Candidates need 5+ years of experience with SQL, Python/R, and statistical analysis expertise.

Responsibilities

  • Product Strategy Development: Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through insights and recommendations
  • Complex Data Analysis: Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches
  • Technical Expertise Application: Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products
  • Success Metrics Management: Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  • Cross-functional Partnership: Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Qualifications

What we look for.

Technical

  • Data Querying Languages

    Expert proficiency in SQL for complex data extraction and analysis

  • Scripting Languages

    Advanced skills in Python for data science and statistical analysis

  • Statistical Software

    Proficiency in R or similar mathematical/statistical software

  • Statistical Analysis

    Ability to perform advanced statistical analysis to drive data-informed decisions

  • Schema Design

    Experience in schema design and dimensional data modeling (preferred)

Education

  • Quantitative Degree

    Degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or related discipline

Experience

  • Industry Experience

    Minimum 5 years of industry experience in data science or analytics roles

  • Executive Communication

    Experience communicating analytical results to executives and cross-functional teams to influence strategy

  • Fintech Experience

    Experience in technology, financial services, or high growth environments (preferred)

Skills

Required

  • SQL

    Expert-level proficiency in data querying languages for complex data extraction

  • Python

    Advanced scripting skills for data analysis and statistical modeling

  • Statistical Analysis

    Strong ability to perform statistical analysis to drive data-informed decisions

  • Executive Communication

    Experience presenting analytical results to executives and influencing strategy

  • Data Mining

    Technical expertise in data mining and pattern recognition techniques

Preferred

  • R Programming

    Nice to have

    Proficiency in R for statistical and mathematical analysis

  • Schema Design

    Nice to have

    Experience in database schema design and dimensional data modeling

  • Fintech Domain

    Nice to have

    Experience in financial services or high-growth technology environments

  • Experimentation

    Nice to have

    Advanced knowledge of A/B testing and experimentation methodologies

Tech stack

Languages

PythonRSQL

Frameworks

Statistical Analysis Libraries

Databases

Data WarehousesDimensional Data Models

Tools

Data Mining ToolsBusiness Intelligence PlatformsExperimentation Platforms

Other

AI/ML Platforms

Compensation

Pay and benefits.

Benefits

  • Global Team Collaboration

    Work with diverse teams across Australia, China, USA, and Singapore

  • High-Impact Projects

    Tackle complex, high-visibility problems with exceptional teammates

  • Career Growth

    Accelerated learning and career development opportunities in a rapidly growing fintech

  • Innovation Focus

    Use AI to work smarter and solve problems faster

  • Equal Opportunity

    Inclusive workplace that values diversity and equal opportunity

Process

Interview steps.

  1. 01

    Application Review

    Initial screening of resume and qualifications against role requirements

  2. 02

    Recruiter Phone Screen

    30-minute conversation about background, motivation, and basic role fit

  3. 03

    Technical Assessment

    SQL and Python coding challenges focusing on data analysis scenarios

  4. 04

    Case Study Presentation

    Present analysis of a business problem using statistical methods and data insights

  5. 05

    Cross-functional Panel

    Interview with Product and Engineering stakeholders to assess collaboration skills

  6. 06

    Final Executive Interview

    Discussion with senior leadership about strategic thinking and cultural fit

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.

About the team

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech. Learn more about the data science team in this blog.

This role is based in Singapore.

Responsibilities:

  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

  • Work with large and complex data sets to solve a wide array of business problems using different analytical and statistical approaches

  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products

  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends

  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

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:

  • Minimum 5 years of industry experience and a degree in a quantitative field

  • 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

  • Ability to perform statistical analysis to drive data-informed decisions

Preferred qualifications:

  • 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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