Staff Data Scientist, CEO Office

Airwallex10 months ago

Location

US - San Francisco

Type

Full Time

Salary

USD 250,000 – 299,000

Level

Staff

Role

Staff Data Scientist

Posted

Apr 25, 2025

Full TimeStaff

The role

Summary

Staff Data Scientist position at Airwallex supporting CEO Office and Regional Business Leads, focusing on strategic data science initiatives. The team provides data-driven insights to amplify Airwallex's rapid growth, working across the full data stack to tackle complex fintech problems. Requires 7+ years experience with advanced degree in quantitative field plus expertise in causal inference and forecasting.

What you'll do

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

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

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, evaluating forecast accuracy, and applying advanced statistical methods

Data Product Development: Scope and build comprehensive data products ranging from MVP prototypes to fully deployed solutions

Technical Mentorship: Guide junior team members and foster an environment of technical excellence, clear communication, and proactive critical thinking

Strategic Analytics: Partner across all business functions to provide overarching perspective on organizational priorities and growth opportunities

Cross-Functional Collaboration: Work closely with leadership teams across US, China, and Singapore to drive data-informed decision making

What we look for

Technical

Causal Inference ExpertiseAdvanced knowledge of causal inference methodologies for understanding business impact

Forecasting MethodsProficiency in statistical forecasting techniques and time series analysis

Data Querying LanguagesExpert-level SQL skills for complex data extraction and analysis

Scripting LanguagesAdvanced proficiency in Python and R for data science workflows

Data ArchitectureHands-on experience with Airflow, Databricks, and dbt for data pipeline development

Statistical AnalysisStrong foundation in statistical methods and experimental design

Machine LearningExperience applying ML techniques to business problems and predictive modeling

Education

Advanced Degree RequiredPhD or MS in quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics

Quantitative BackgroundStrong mathematical and statistical foundation from academic coursework and research

Experience

Industry ExperienceMinimum 7 years of hands-on experience in data science or related analytical roles

Executive CommunicationProven track record working directly with C-level executives and influencing strategic decisions

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

Finance Systems KnowledgeExperience with Excel and enterprise finance systems like Oracle is preferred

Skills

Required skills

Statistical ModelingAdvanced statistical methods and quantitative analysis techniques

Causal InferenceExpertise in causal analysis methods for business impact assessment

ForecastingTime series forecasting and predictive modeling capabilities

Python ProgrammingAdvanced Python skills for data science and automation

SQL Database QueryingComplex SQL queries for data extraction and analysis

Executive CommunicationAbility to present complex data insights to C-level stakeholders

Data Pipeline DevelopmentExperience with Airflow, Databricks, and dbt for data workflows

Strategic ThinkingBusiness acumen to translate data findings into strategic recommendations

Nice to have

R ProgrammingStatistical computing and advanced analytics using R

Fintech ExperienceBackground in financial technology or financial services industry

High-Growth EnvironmentExperience working in fast-paced, scaling technology companies

Excel ProficiencyAdvanced Excel skills for financial modeling and analysis

Oracle SystemsExperience with Oracle database and enterprise finance systems

AI/ML ApplicationsPractical experience applying AI and machine learning to business problems

Mentoring SkillsProven ability to guide and develop junior team members

Compensation & benefits

Salary

USD 250,000 – 299,000 (annual)

Benefits

Global Career Growth

Opportunities for career advancement across 26 international offices worldwide

Equity Participation

Potential equity ownership in a US$8 billion valued fintech unicorn company

Learning & Development

Access to cutting-edge fintech technology and accelerated learning opportunities

Innovation Environment

Work with 2,000+ top-tier tech professionals on ambitious global projects

Flexible Work Arrangement

Hybrid work model combining office collaboration with remote flexibility

Equal Opportunity

Inclusive workplace committed to diversity and equal opportunity employment

Professional Impact

Direct influence on strategic decisions affecting 200,000+ global business customers

Interview process

1
Application Review — Initial screening of resume, portfolio, and technical background
2
Recruiter Phone Screen — 30-minute call to discuss background, motivations, and role fit
3
Technical Assessment — Data science case study or take-home assignment demonstrating analytical skills
4
Hiring Manager Interview — 60-minute discussion of technical expertise, experience, and approach to data problems
5
Executive Panel — Interview with senior leadership to assess strategic thinking and communication skills
6
Team Interview — Meeting with data science team members to evaluate collaboration and technical depth
7
Final Interview — Cultural fit assessment and opportunity for candidate questions about the role