Senior Data Scientist, Analytics (Relo to SF)

Airwallex3 months ago

Location

SG - Singapore

Type

Full Time

Salary

USD 160,000 – 250,000

Level

Senior

Role

Data Scientist

Posted

Dec 3, 2025

Full TimeSenior

The role

Summary

Airwallex is seeking a Senior Data Scientist to join their Analytics team in San Francisco, partnering with Marketing to drive data-driven insights and business outcomes. The role focuses on developing marketing reports, conducting deep-dive analyses, and optimizing marketing strategies through statistical modeling and experimentation at a fast-growing fintech unicorn valued at $8 billion.

What you'll do

Marketing Performance Analysis: Analyze data to assess performance and ROI of marketing initiatives across multiple channels

Dashboard Development: Develop comprehensive dashboards and reports to provide observability for data-driven decision making

KPI Subject Matter Expertise: Serve as the subject matter expert for all Marketing KPIs and consult on marketing data-related projects

Stakeholder Partnership: Partner with Marketing stakeholders to objectively measure campaign performance and identify actionable insights

Forecasting and Budgeting: Develop data-driven marketing forecasts and budgets to inform organizational-level planning

Cross-Functional Collaboration: Collaborate with Marketing, Sales, and Product teams to identify improvement opportunities in marketing strategies

Experimentation Support: Support experiments to measure impact of ad spend, brand campaigns, and other marketing initiatives

Strategic Insights: Drive deep-dive analyses and stay on top of market trends to develop and optimize marketing strategies

Executive Communication: Communicate analysis results to executives and cross-functional teams to influence business strategy

What we look for

Technical

Data Science Experience6+ years of industry experience in data science and analytics

Marketing Analytics Specialization2+ years of specific experience in Marketing Analytics or similar role

Programming ProficiencyExpert-level skills in SQL, Python, and/or R for data analysis and modeling

Digital Marketing KnowledgeExperience with digital marketing channels including email, paid ads, and SEO

Statistical AnalysisAbility to perform advanced statistical analysis and develop machine learning models

Data ModelingExperience in schema design and dimensional data modeling

Education

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

Quantitative BackgroundStrong foundation in mathematics, statistics, or related analytical discipline

Experience

Executive CommunicationProven experience communicating analysis results to executives and influencing strategy

Marketing Technology StackExperience with Google Analytics, Marketo, and Salesforce platforms preferred

A/B TestingKnowledge of online A/B testing and experimentation frameworks

Cross-Functional CollaborationTrack record of working effectively with marketing, sales, and product teams

Skills

Required skills

SQLExpert-level proficiency in data querying languages for complex analysis

Python/RAdvanced scripting and statistical software skills for data science workflows

Marketing Analytics2+ years specialized experience in marketing performance measurement

Statistical AnalysisAdvanced statistical methods and machine learning model development

Executive CommunicationProven ability to present insights to C-level executives and influence strategy

Digital MarketingUnderstanding of email, paid advertising, SEO, and multi-channel attribution

Nice to have

Google AnalyticsExperience with web analytics platform for marketing performance tracking

MarketoMarketing automation platform expertise for campaign analysis

SalesforceCRM integration and sales funnel analytics experience

A/B TestingExperimentation framework knowledge for campaign optimization

Schema DesignData warehouse and dimensional modeling experience

Machine LearningAdvanced ML techniques for predictive analytics and customer insights

Compensation & benefits

Salary

USD 160,000 – 250,000 (annual)

Benefits

Equity Opportunity

Join a unicorn fintech company valued at $8 billion with significant growth potential

Career Development

Accelerated learning opportunities and true ownership in a fast-growing global company

Global Impact

Work on products that serve over 200,000 businesses worldwide including major brands

Relocation Support

Relocation assistance to San Francisco for this critical leadership role

Innovation Environment

Access to cutting-edge financial technology and AI-powered tools

Diverse Team

Work with over 2,000 innovative professionals across 26 global offices

Interview process

1
Initial Screening — Phone or video call with HR to discuss background and interest in the role
2
Technical Assessment — Take-home data science case study focusing on marketing analytics scenarios
3
Technical Interview — Deep dive into SQL, Python/R skills, and statistical analysis methodology with data science team
4
Case Study Presentation — Present your take-home case study findings and recommendations to the hiring team
5
Stakeholder Interview — Meet with Marketing team members to assess collaboration and communication skills
6
Leadership Interview — Final round with senior leadership to discuss strategic vision and cultural fit
7
Reference Checks — Background verification and professional reference validation