Airwallex

Staff Data Scientist, Analytics (Revenue Strategy)

Airwallex2 months ago
Location

SG - Singapore

Type

Full Time

Level

Staff

Role

Staff Data Scientist

Posted

Jan 14, 2026

Full TimeStaff

The role

Summary

Airwallex is seeking a Staff Data Scientist to partner with executive leadership on revenue strategy analytics, leading forecasting efforts and applying advanced statistical methods to drive business growth. This role requires 7+ years of experience with expertise in causal inference, forecasting, and executive-level stakeholder collaboration in the fintech industry.

What you'll do

Executive Partnership: Serve as the primary data partner for CEO and Regional Business Leads, providing strategic insights and recommendations
Causal Inference Analysis: Apply causal inference methods to understand how macroeconomic events and business decisions impact company performance
AI-Driven Insights: Leverage artificial intelligence to generate actionable business insights and improve operational efficiency
Forecasting Leadership: Lead company-wide forecasting efforts by building aggregation tools and applying advanced statistical methods
Data Product Development: Scope and build data products ranging from MVP prototypes to fully developed solutions
Team Mentorship: Mentor junior team members and foster an environment of technical excellence and critical thinking

What we look for

Technical

Causal Inference ExpertiseAdvanced knowledge of causal inference methods for business impact analysis
Forecasting ProficiencyExpert-level skills in statistical forecasting and time series analysis
Programming LanguagesProficiency in SQL, Python, and R for data analysis and modeling
Data ArchitectureExperience with Airflow, Databricks, and dbt for data pipeline management

Education

Advanced DegreePhD or MS in quantitative field such as Statistics, Engineering, Computer Science, or Economics

Experience

Industry Experience7+ years of professional experience in data science or analytics roles
Executive Stakeholder ManagementProven track record of working directly with C-level executives to influence business strategy
Fintech BackgroundPreferred experience in technology, financial services, or high-growth environments

Skills

Required skills

Statistical ExpertiseAdvanced knowledge of causal inference methods and forecasting techniques
Programming ProficiencyExpert-level skills in SQL, Python, and R for data analysis
Data EngineeringExperience with Airflow, Databricks, and dbt for data architecture
Executive CommunicationProven ability to communicate complex insights to C-level stakeholders
Leadership SkillsCapability to mentor junior team members and drive technical excellence

Nice to have

Fintech ExperienceBackground in financial services, technology, or high-growth environments
Financial SystemsExperience with Excel and enterprise finance systems like Oracle
Business StrategyUnderstanding of revenue strategy and business model optimization

Compensation & benefits

Benefits

Global Exposure

Work with a global fintech leader serving 200,000+ businesses worldwide

Career Growth

Accelerated learning opportunities in a rapidly scaling $8B valued company

Innovation Environment

Access to cutting-edge AI tools and advanced data technologies

Equal Opportunity

Commitment to diversity and inclusion across all hiring and advancement decisions


Interview process

  1. 1
    Application Review Initial screening of resume and technical background
  2. 2
    Technical Interview Assessment of statistical methods, causal inference, and forecasting expertise
  3. 3
    Case Study Business problem-solving exercise demonstrating analytical thinking
  4. 4
    Executive Panel Interview with senior leadership to assess strategic communication skills
  5. 5
    Cultural Fit Evaluation of alignment with Airwallex values and operating principles

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Airwallex

Airwallex

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Airwallex is a Singapore-based financial technology company specializing in cross-border payments and financial services for businesses.

SingaporeFounded 2015airwallex.com

Tech Stack

Languages
PythonRSQL
Frameworks
Causal Inference LibrariesForecasting ModelsAI/ML Frameworks
Databases
Data WarehousesOracle
Tools
DatabricksAirflowdbtExcel
Other
Statistical MethodsData ArchitectureBusiness Intelligence Tools
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