Senior Data Scientist, GTM

Airwallex2 months ago

Location

US - San Francisco

Type

Full Time

Salary

USD 160,000 – 250,000

Level

Senior

Role

Data Scientist

Posted

Jan 7, 2026

Full TimeSenior

The role

Summary

Airwallex is seeking a Senior Data Scientist to join their GTM team in San Francisco, focusing on revenue optimization and commercial efficiency through advanced analytics and AI solutions. This role combines deep statistical modeling with business impact, requiring expertise in causal inference, forecasting, and translating complex data insights into actionable business strategies for cross-functional teams.

What you'll do

Complex Analysis Translation: Transform complex statistical and modeling results into clear, actionable narratives for cross-functional partners and executive leadership

Revenue Analytics Leadership: Lead proactive exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind GTM metric shifts

Scalable Model Development: Operationalize insights into repeatable workflows, automated pipelines, and scalable data science operating models

Revenue Forecasting Ownership: Develop and maintain revenue forecasting and forward-looking performance insights including pipeline health and conversion drivers

Advanced Causal Inference: Apply observational causal inference methods like DiD, synthetic control, and DoubleML to estimate impact when experiments aren't feasible

AI Solution Implementation: Design and deploy AI-enabled solutions across sales and customer lifecycle to enhance effectiveness and generate proactive insights

Cross-functional Partnership: Collaborate closely with Product, Growth, and Commercial teams to shape data science strategy and implementation

Data Foundation Building: Build next-generation data science infrastructure and establish reliable 'source of truth' for commercial decision-making

What we look for

Technical

Advanced SQL ProficiencyStrong SQL skills for complex data extraction and analytical query development

Python/R ExpertiseHigh proficiency in Python and/or R for analysis, modeling, and automation workflows

Causal Inference MethodsStrong foundations in causal inference including DiD, synthetic control, and modern ML-based approaches

Forecasting and Time SeriesExperience with revenue forecasting, time series analysis, and predictive modeling

Statistical ModelingAdvanced statistical analysis and machine learning model development and deployment

Analytics ToolingExperience with cloud data platforms, notebook environments, and modern analytics stack

Education

Advanced Degree RequiredMS or PhD in quantitative field such as Statistics, Computer Science, Engineering, Economics, or related discipline

Experience

Industry Experience5+ years of industry experience in data science or quantitative analysis roles

GTM Analytics ExperienceExperience with go-to-market performance analysis and customer behavior insights

Business Impact FocusProven track record of translating analytical work into measurable business outcomes

Executive CommunicationExperience presenting technical findings to executive audiences and non-technical stakeholders

Skills

Required skills

Analytical Problem-SolvingStrong analytical intuition and structured approach to complex business problems

Technical CommunicationExcellent ability to translate technical work into actionable recommendations for diverse audiences

Business CuriosityDeep curiosity about GTM performance and customer behavior, going beyond descriptive to causal analysis

Statistical FoundationsStrong grounding in causal inference and forecasting methodologies

Programming ProficiencyHigh fluency in SQL, Python, and/or R for data analysis and modeling

Nice to have

Databricks ExperienceFamiliarity with Databricks or similar cloud data platforms and warehouses

Hex Platform KnowledgeExperience with Hex or other notebook-based analysis tools for collaborative analytics

Startup ExperienceBackground in high-growth startup environments with fast-paced decision making

B2B Business ModelsUnderstanding of B2B sales processes, pipeline management, CRM systems, and RevOps data

Financial TechnologyExperience in fintech or payments industry with complex financial data analysis

Compensation & benefits

Salary

USD 160,000 – 250,000 (annual)

Stock options

Available

Benefits

Equity Participation

Stock options in a rapidly growing fintech company valued at $8 billion

Global Career Opportunities

Access to 26 offices worldwide with international career development paths

Cutting-edge Technology

Work with state-of-the-art financial technology and data science infrastructure

High-Impact Projects

Opportunity to work on complex, high-visibility problems with exceptional teammates

Accelerated Learning

Fast-paced environment with significant professional growth opportunities

AI-Enhanced Productivity

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

Interview process

1
Initial Screen — Phone or video call with recruiting team to discuss background and role fit
2
Technical Assessment — Take-home data science case study focusing on GTM analytics and causal inference
3
Technical Deep Dive — Technical interview covering statistical methods, causal inference, and past project experiences
4
Business Case Discussion — Present case study findings and discuss approach to solving GTM analytics challenges
5
Cross-functional Interview — Meet with Product, Growth, or Commercial team members to assess collaboration skills
6
Leadership Interview — Final interview with senior leadership focusing on strategic thinking and culture fit