Senior Data Scientist, Analytics (Product)

Airwallex1 months ago

Location

SG - Singapore

Type

Full Time

Level

Senior

Role

Data Scientist

Posted

Jan 16, 2026

Full TimeSenior

The role

Summary

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.

What you'll do

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

What we look for

Technical

Data Querying LanguagesExpert proficiency in SQL for complex data extraction and analysis

Scripting LanguagesAdvanced skills in Python for data science and statistical analysis

Statistical SoftwareProficiency in R or similar mathematical/statistical software

Statistical AnalysisAbility to perform advanced statistical analysis to drive data-informed decisions

Schema DesignExperience in schema design and dimensional data modeling (preferred)

Education

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

Experience

Industry ExperienceMinimum 5 years of industry experience in data science or analytics roles

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

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

Skills

Required skills

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

PythonAdvanced scripting skills for data analysis and statistical modeling

Statistical AnalysisStrong ability to perform statistical analysis to drive data-informed decisions

Executive CommunicationExperience presenting analytical results to executives and influencing strategy

Data MiningTechnical expertise in data mining and pattern recognition techniques

Nice to have

R ProgrammingProficiency in R for statistical and mathematical analysis

Schema DesignExperience in database schema design and dimensional data modeling

Fintech DomainExperience in financial services or high-growth technology environments

ExperimentationAdvanced knowledge of A/B testing and experimentation methodologies

Compensation & 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

Interview process

1
Application Review — Initial screening of resume and qualifications against role requirements
2
Recruiter Phone Screen — 30-minute conversation about background, motivation, and basic role fit
3
Technical Assessment — SQL and Python coding challenges focusing on data analysis scenarios
4
Case Study Presentation — Present analysis of a business problem using statistical methods and data insights
5
Cross-functional Panel — Interview with Product and Engineering stakeholders to assess collaboration skills
6
Final Executive Interview — Discussion with senior leadership about strategic thinking and cultural fit