Senior Data Scientist, Analytics (Relo to SF)

Airwallex3 months ago

Location

AU - Melbourne

Type

Full Time

Salary

USD 160,000 – 250,000

Level

Senior

Role

Data Scientist

Posted

Dec 4, 2025

Full TimeSenior

The role

Summary

Airwallex is seeking a Senior Data Scientist to join their Marketing Analytics team in San Francisco, partnering closely with Marketing teams to drive data-driven insights and optimize strategies. The role requires 6+ years of experience in quantitative fields with 2+ years in Marketing Analytics, focusing on campaign performance analysis, ROI measurement, and developing forecasting models to support business growth.

What you'll do

Marketing Performance Analysis: Analyze data to assess performance and ROI of Marketing initiatives

Dashboard Development: Develop dashboards and reports to provide observability, enabling stakeholders to make data-driven decisions

Marketing KPI Expertise: Be the subject matter expert for all Marketing KPIs, consulting on Marketing data related projects

Campaign Performance Measurement: 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 opportunities for improvement in Marketing strategies and campaigns

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

What we look for

Technical

Data Querying LanguagesExpert in SQL for complex data analysis

Scripting LanguagesProficiency in Python for data manipulation and analysis

Statistical SoftwareExperience with R or similar mathematical software

Schema DesignExperience in dimensional data modeling and database design

Digital Marketing ChannelsExperience with email, paid ads, and SEO analytics

Education

Advanced DegreePhD or MS in quantitative field (Statistics, Engineering, Sciences, Computer Science, Economics)

Experience

Industry Experience6+ years of industry experience in quantitative roles

Marketing Analytics2+ years of experience in Marketing Analytics or similar role

Executive CommunicationExperience communicating analysis results to executives and cross-functional teams to influence strategy

Skills

Required skills

SQLExpert level data querying for complex marketing analytics

PythonScripting and data analysis for marketing insights

Statistical AnalysisAdvanced statistical methods for campaign performance measurement

Marketing Analytics2+ years experience in marketing data analysis and ROI measurement

Executive CommunicationAbility to present insights to C-level executives and influence strategy

Nice to have

RStatistical software for advanced modeling

Google AnalyticsWeb analytics and digital marketing measurement

MarketoMarketing automation platform experience

SalesforceCRM and sales data integration

A/B TestingOnline experimentation and statistical testing frameworks

Machine LearningML model development for predictive marketing analytics

Schema DesignDimensional data modeling and data warehouse design

Compensation & benefits

Salary

USD 160,000 – 250,000 (annual)

Benefits

Global Impact

Opportunity to shape the next phase of Airwallex's growth in a critical period

Career Development

Accelerated learning and true ownership opportunities

Innovation Focus

Work with AI to solve problems faster and tackle complex, high-visibility problems

Collaborative Environment

Work with exceptional teammates across 26 global offices

Equal Opportunity

Commitment to diversity and equal employment opportunities

Interview process

1
Application Review — Initial screening of resume and qualifications
2
Phone/Video Screen — Initial conversation with hiring manager about experience and role fit
3
Technical Assessment — SQL and Python coding assessment focusing on marketing analytics scenarios
4
Case Study — Marketing analytics case study presentation demonstrating problem-solving approach
5
Panel Interview — Technical interview with data science team members
6
Stakeholder Interview — Interview with Marketing team members to assess collaboration skills
7
Final Interview — Executive interview focusing on strategic thinking and culture fit