Senior Data Scientist, Analytics (Relo to SF)

Airwallex3 months ago

Location

CA - Toronto

Type

Full Time

Salary

USD 160,000 – 250,000

Level

Senior

Role

Data Scientist

Posted

Dec 4, 2025

Full TimeSenior

The role

Summary

Airwallex, a US$8 billion fintech company, is seeking a Senior Data Scientist to join their Analytics team in San Francisco, partnering closely with Marketing to drive data-driven insights and business outcomes. The role involves developing key marketing reports, conducting deep-dive analyses, and optimizing marketing strategies through statistical modeling and experimentation, requiring 6+ years of experience and expertise in SQL, Python/R, and marketing analytics.

What you'll do

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

Dashboard and Report Development: Develop comprehensive dashboards and reports to provide observability for stakeholder decision-making

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

Campaign Performance Partnership: Partner with marketing stakeholders to objectively measure campaign performance and identify actionable insights

Forecasting and Budget Planning: Develop data-driven marketing forecasts and budgets to inform organizational-level strategic planning

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

Experiment Design and Analysis: Support and analyze experiments to measure impact of ad spend, brand campaigns, and marketing initiatives

Executive Communication: Present analytical results and strategic recommendations to executives and cross-functional teams

What we look for

Technical

Data Analysis ExpertiseExpert proficiency in SQL for data querying and analysis of large marketing datasets

Programming SkillsAdvanced skills in Python or R for statistical analysis, modeling, and automation

Statistical ModelingAbility to develop machine learning models and perform advanced statistical analysis for marketing insights

Dashboard DevelopmentExperience building comprehensive dashboards and reporting systems for business stakeholders

Marketing Analytics ToolsProficiency with Google Analytics, marketing automation platforms, and digital marketing measurement tools

Education

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

Quantitative BackgroundStrong foundation in statistical methods, mathematical modeling, and data analysis techniques

Experience

Industry Experience6+ years of industry experience in data science, analytics, or related quantitative roles

Marketing Analytics Experience2+ years of specific experience in marketing analytics or similar marketing-focused analytical role

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

Executive CommunicationProven track record of presenting analytical results to executives and influencing strategic decisions

Schema DesignExperience in data warehouse schema design and dimensional data modeling preferred

Skills

Required skills

SQL ExpertiseExpert-level proficiency in SQL for complex data querying and analysis across large marketing datasets

Statistical ProgrammingAdvanced skills in Python or R for statistical analysis, machine learning, and data modeling

Marketing AnalyticsDeep understanding of marketing KPIs, attribution models, and digital marketing performance measurement

Executive CommunicationAbility to translate complex analytical findings into actionable business recommendations for leadership

Dashboard DevelopmentExperience building comprehensive reporting systems and data visualization for business stakeholders

Statistical AnalysisStrong foundation in statistical methods, hypothesis testing, and experimental design for marketing experiments

Nice to have

Google AnalyticsHands-on experience with Google Analytics for web analytics and digital marketing measurement

Marketing AutomationExperience with Marketo, Salesforce, or similar marketing automation and CRM platforms

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

Machine LearningExperience developing and deploying machine learning models for marketing optimization and prediction

Schema DesignUnderstanding of data warehouse architecture, dimensional modeling, and ETL processes

Digital Marketing ChannelsFamiliarity with paid advertising, email marketing, SEO, and multi-channel attribution modeling

Compensation & benefits

Salary

USD 160,000 – 250,000 (annual)

Benefits

Global Career Opportunities

Access to career development across 26 international offices and global fintech operations

High-Impact Work Environment

Opportunity to shape the future of global payments and financial services at a US$8 billion valuation company

Accelerated Learning

Work on complex, high-visibility problems with exceptional teammates in a fast-paced fintech environment

True Ownership

Founder-like energy environment with real impact and decision-making authority on marketing analytics strategy

AI-Enhanced Productivity

Access to cutting-edge AI tools and resources to enhance work efficiency and problem-solving capabilities

Relocation Support

Comprehensive relocation assistance for move to San Francisco headquarters

Equal Opportunity Environment

Inclusive workplace that values diversity and provides equal opportunities regardless of background

Interview process

1
Initial Screening — Phone or video call with talent acquisition to discuss background, motivation, and role alignment
2
Technical Assessment — SQL and Python/R coding assessment focused on marketing analytics scenarios and statistical analysis
3
Case Study Presentation — Marketing analytics case study with data analysis, insights generation, and executive-level presentation
4
Team Interviews — Virtual or in-person interviews with data science team members and marketing stakeholders
5
Leadership Interview — Final round with senior leadership focusing on strategic thinking, communication skills, and cultural fit
6
Reference and Background Check — Verification of previous experience and professional references, followed by offer negotiation