Staff Data Scientist, CEO Office

Airwallex3 days ago

Location

SG - Singapore

Type

Full Time

Salary

SGD 180,000 – 270,000

Level

Staff

Role

Data Engineer

Posted

Mar 11, 2026

Full TimeStaff

The role

Summary

Staff Data Scientist role in Airwallex's CEO Office Strategic Data Science team, providing data insights and tooling to leadership to drive growth. Requires 7+ years experience with advanced degree in quantitative field, expertise in causal inference and forecasting, and proven track record working with executives.

What you'll do

Executive Data Partnership: Serve as the primary data partner for CEO and Regional Business Leads, providing strategic insights and recommendations

Macroeconomic Impact Analysis: Apply causal inference methods to understand how macroeconomic events and market conditions impact business performance

AI-Driven Insights: Leverage artificial intelligence and machine learning 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, design, and build data products ranging from MVPs to fully developed solutions

Team Mentorship: Mentor junior team members and foster an environment of technical excellence and critical thinking

Cross-Functional Collaboration: Partner with teams across the entire business to provide overarching insights and strategic recommendations

Strategic Decision Support: Provide data-driven recommendations to inform executive-level strategic decisions and business prioritization

What we look for

Technical

Causal Inference ExpertiseAdvanced knowledge of causal inference methods for understanding cause-and-effect relationships in data

Forecasting MethodsExpertise in statistical forecasting techniques and time series analysis

Programming LanguagesProficiency in Python and R for data analysis, modeling, and automation

Database Query SkillsExpert-level SQL skills for complex data querying and manipulation

Data ArchitectureExperience with modern data stack including Airflow, Databricks, and dbt

Machine LearningStrong foundation in ML algorithms, statistical modeling, and AI applications

Financial Analysis ToolsExperience with Excel and enterprise finance systems like Oracle

Education

Advanced DegreePhD or Master's degree in quantitative field such as Statistics, Engineering, Computer Science, or Economics

Quantitative BackgroundStrong foundation in mathematics, statistics, and analytical methods

Experience

Industry ExperienceMinimum 7 years of industry experience in data science or analytics roles

Executive Stakeholder ManagementProven track record of working directly with C-level executives and influencing strategic decisions

High-Growth EnvironmentExperience in technology, financial services, or high-growth startup environments preferred

Data Product DevelopmentExperience building and deploying data products from conception to production

Team LeadershipExperience mentoring and leading junior data scientists and analysts

Skills

Required skills

Advanced StatisticsDeep expertise in statistical methods, hypothesis testing, and experimental design

Causal InferenceMastery of causal inference techniques including instrumental variables, regression discontinuity, and difference-in-differences

Time Series ForecastingAdvanced skills in forecasting methods, ARIMA models, and predictive analytics

Python ProgrammingExpert-level Python skills for data manipulation, analysis, and machine learning

SQL Database ManagementAdvanced SQL capabilities for complex queries, joins, and database optimization

Executive CommunicationExceptional ability to communicate complex technical concepts to executive-level stakeholders

Data ArchitectureHands-on experience with modern data platforms including Airflow, Databricks, and dbt

Nice to have

Financial Services KnowledgeUnderstanding of fintech, payments, and financial services industry dynamics

R ProgrammingProficiency in R for statistical analysis and specialized packages

Oracle SystemsExperience with Oracle database systems and enterprise financial software

Excel Advanced FeaturesExpert-level Excel skills including VBA, pivot tables, and financial modeling

AI/ML EngineeringExperience with MLOps, model deployment, and production machine learning systems

Data VisualizationSkills in creating compelling data visualizations and executive dashboards

Compensation & benefits

Salary

SGD 180,000 – 270,000 (annual)

Stock options

Available

Benefits

Equity Participation

Stock options in a US$8 billion valued fintech unicorn with global growth potential

Professional Development

Accelerated learning opportunities and career growth in a high-impact role

Global Exposure

Work with international teams across 26 offices worldwide

Cutting-Edge Technology

Access to latest AI tools and advanced data infrastructure

Executive Visibility

Direct partnership with CEO and senior leadership team

Innovation Culture

Founder-like energy environment with real ownership and impact

Diverse Team

Collaborate with 2,000+ innovative professionals globally

Interview process

1
Initial Screening — Phone or video call with HR to discuss background, experience, and role alignment
2
Technical Assessment — Take-home assignment or technical interview focusing on causal inference, forecasting, and statistical analysis
3
Case Study Presentation — Present a business case study demonstrating ability to translate complex data insights for executive audience
4
Panel Interview — Meet with data science team members and stakeholders to assess technical expertise and cultural fit
5
Executive Interview — Final interview with senior leadership to evaluate strategic thinking and executive presence
6
Reference Check — Professional references and background verification