Staff Data Scientist, GTM

Airwallex4 days ago

Location

US - San Francisco

Type

Full Time

Salary

USD 250,000 – 299,000

Level

Staff

Role

Data Scientist

Posted

Mar 19, 2026

Full TimeStaff

The role

Summary

Airwallex is seeking a Staff Data Scientist for their Go-to-Market (GTM) team in San Francisco, focused on providing strategic data insights to drive the company's rapid global growth in fintech. The ideal candidate will leverage advanced analytics, causal inference, and AI to support executive decision-making and develop sophisticated data products.

What you'll do

Executive Data Partnership: Serve as the primary data partner for regional executives, providing critical insights and analytical support

Causal Inference Analysis: Develop and apply causal inference methods to understand macroeconomic impacts on business performance

AI-Driven Insights: Leverage artificial intelligence to generate actionable insights and improve team and business efficiency

Forecasting Leadership: Lead comprehensive forecasting efforts by building aggregation tools, evaluating existing forecasts, and applying advanced statistical methods

Data Product Development: Scope, design, and build data products ranging from minimum viable products (MVPs) to fully developed solutions

Team Mentorship: Mentor junior team members, fostering an environment of technical excellence, clear communication, and proactive critical thinking

What we look for

Technical

Data QueryingAdvanced proficiency in SQL and scripting languages like Python and R

Data ArchitectureExperience with technologies such as Airflow, Databricks, and dbt

Advanced AnalyticsExpertise in causal inference methods and statistical forecasting techniques

Education

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

Experience

Industry ExperienceMinimum of 7+ years of professional experience in data science or related quantitative fields

Executive CollaborationProven track record of working directly with executive-level stakeholders to influence strategic decisions

Skills

Required skills

Causal InferenceAdvanced methods for understanding complex business relationships and impacts

Statistical ForecastingAbility to develop and validate sophisticated predictive models

Data VisualizationSkill in translating complex data insights into clear, actionable presentations

Nice to have

Financial Services KnowledgeBackground in technology, fintech, or high-growth financial environments

Enterprise SystemsExperience with Excel and financial systems like Oracle

Compensation & benefits

Salary

USD 250,000 – 299,000 (annual)

Stock options

Available

Benefits

Global Career Opportunity

Work with a high-growth fintech company valued at $8 billion with international presence

Innovative Environment

Opportunity to tackle complex problems and shape the future of global banking

Professional Development

Accelerated learning and true ownership of impactful projects

Interview process

1
Initial Screening — Review of resume and initial qualifications by recruiting team
2
Technical Assessment — Comprehensive evaluation of data science skills and problem-solving abilities
3
Executive Stakeholder Interview — Discussion of strategic thinking and ability to communicate complex insights
4
Final Interview — Comprehensive discussion with leadership team and potential team members