Staff Data Scientist

Airwallex3 days ago

Location

SG - Singapore

Type

Full Time

Level

Staff

Role

Staff Data Scientist

Posted

Mar 11, 2026

Full TimeStaff

The role

Summary

Staff Data Scientist role at Airwallex in Singapore, leading data science initiatives across a global fintech platform. Requires 7+ years experience with advanced degree in quantitative fields, focusing on machine learning, experimentation, and strategic cross-functional collaboration to drive product strategy and business growth.

What you'll do

Technical Leadership: Provide technical mentorship to data science team members and resolve complex analytical problems

Strategic Vision: Set long-term direction and vision for data science initiatives across the organization

Cross-functional Collaboration: Serve as strategic thought leader with Product, Engineering, Marketing, Sales, and Finance teams

Strategic Decision Support: Inform, influence, and execute strategy and investment decisions through data-driven insights

Product Analytics: Apply quantitative analysis, experimentation, and data mining to develop product strategies

Performance Measurement: Identify and measure success of product efforts through goal setting and forecasting

Key Metrics Monitoring: Monitor and analyze key product metrics to understand trends and business performance

Data Presentation: Present complex data insights and recommendations to leadership and cross-functional teams

What we look for

Technical

Data Querying LanguagesExpert proficiency in SQL for complex database operations

Programming LanguagesAdvanced skills in Python and/or R for data analysis and modeling

Machine LearningExtensive experience with ML algorithms, model development, and deployment

ExperimentationStrong background in A/B testing, experimental design, and statistical analysis

Data MiningAdvanced techniques for extracting insights from large datasets

Statistical AnalysisDeep understanding of statistical methods and their applications

Schema DesignExperience in database schema design and dimensional data modeling

Data VisualizationAbility to create compelling visualizations and presentations for stakeholders

Education

Advanced DegreePhD or MS in Statistics, Engineering, Sciences, Computer Science, Economics, or related quantitative field

Experience

Industry Experience7+ years of professional experience in data science roles

Leadership CommunicationProven experience communicating analytical results to leadership teams and influencing strategy

Technical MentorshipExperience mentoring junior data scientists and leading technical initiatives

Fintech BackgroundPreferred experience in technology, financial services, or high-growth environments

Cross-functional CollaborationStrong track record of working with diverse teams across different business functions

Skills

Required skills

SQLExpert-level proficiency in data querying languages for complex database operations

PythonAdvanced programming skills for data analysis, machine learning, and automation

Statistical AnalysisDeep expertise in statistical methods and mathematical modeling

Machine LearningExtensive experience with ML algorithms, model development, and production deployment

ExperimentationStrong background in A/B testing, experimental design, and causal inference

Leadership CommunicationAbility to communicate complex analytical insights to executive leadership and influence strategy

Technical MentorshipExperience guiding and developing junior data scientists and technical team members

Cross-functional CollaborationProven ability to work effectively with Product, Engineering, Marketing, and Business teams

Nice to have

R ProgrammingProficiency in R for statistical analysis and mathematical software applications

Schema DesignExperience with database schema design and dimensional data modeling

Fintech IndustryBackground in financial services, payments, or fintech domain knowledge

High-Growth EnvironmentExperience scaling data science capabilities in rapidly growing technology companies

Cloud PlatformsFamiliarity with cloud-based data science and machine learning platforms

Data EngineeringUnderstanding of data pipelines, ETL processes, and data infrastructure

Compensation & benefits

Benefits

Global Team Collaboration

Work with talented professionals across 26 offices worldwide including Australia, China, USA, and Singapore

High-Growth Environment

Join a rapidly scaling fintech company valued at US$8 billion with world-leading investors

Career Development

Accelerated learning opportunities and true ownership in a fast-paced, innovative environment

Equal Opportunity

Inclusive workplace that values diversity and considers all candidates based on merit and qualifications

Accommodation Support

Workplace accommodations available for employees with disabilities or special needs

Mission-Driven Work

Contribute to building the global payments and financial platform of the future

Interview process

1
Application Review — Initial screening of resume, portfolio, and technical background by recruiting team
2
Phone/Video Screening — 30-45 minute conversation with hiring manager covering background, experience, and role alignment
3
Technical Assessment — Take-home data science problem or live technical interview focusing on SQL, Python, and analytical thinking
4
Case Study Presentation — Present a business case study demonstrating strategic thinking and communication skills to cross-functional panel
5
Leadership Interview — Discussion with senior leadership focusing on mentorship experience, strategic vision, and cultural fit
6
Final Round — Meet with team members and stakeholders to assess collaboration style and technical depth
7
Reference Check — Verification of experience and performance with previous employers and technical mentees