Senior Data Scientist, GTM

About the role

The GTM Data Science team at Airwallex is a collaborative group of analytics and data science professionals passionate about driving commercial success with cutting-edge solutions. We work closely with Product, Growth, and Commercial teams to accelerate revenue growth, optimize efficiency, and build the data foundations supporting Airwallex's next phase.

Responsibilities

• Serve as a technical partner to Product, Growth, and Commercial teams to design and implement scalable data science solutions that accelerate revenue and improve commercial outcomes.
• Lead exploratory, data-driven analyses to identify and scale revenue opportunities, uncover trends, and operationalize insights into automated, repeatable workflows.
• Develop and maintain revenue forecasting models and performance analytics (e.g., pipeline health, conversion, retention drivers, scenario planning) as trusted sources of truth for commercial decision-making.
• Apply advanced causal inference techniques (such as DiD, synthetic control, DoubleML) to estimate business impact and guide strategic choices where RCTs are not practical.
• Design and implement AI-enabled solutions across the sales and customer lifecycle, including boosting sales effectiveness, retention, and expansion.
• Communicate technical findings and recommendations lucidly to technical and non-technical stakeholders, including executive teams.

Requirements

We're looking for people who meet the minimum requirements for this role. The preferred qualifications are a plus, but not required.

• At least 5 years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or related discipline).
• Demonstrated analytical intuition and structured problem-solving; skilled at translating commercial questions into focused analytics projects.
• Excellent communicator, adept at presenting complex technical concepts as actionable recommendations to diverse audiences.
• Strong hands-on experience with SQL, Python and/or R, including causal inference and revenue forecasting.
• Deep curiosity about GTM performance and customer behavior—focused on uncovering not just what changed, but why it changed.

Qualifications

• Experience with Databricks or similar cloud data platforms/warehouses.
• Familiarity with Hex or other notebook-based analysis tools.
• Experience in a high-growth startup and/or B2B business models, including CRM, sales pipeline, or RevOps data.

Skills

• Advanced degree (MS or PhD) in a quantitative field.
• Industry experience of at least 5 years.
• Hands-on experience with SQL, Python, and/or R.
• Experience with causal inference and revenue forecasting.
• Experience with Databricks or similar cloud data platforms/warehouses.
• Familiarity with Hex or other notebook-based analysis tools.
• Experience in a high-growth startup and/or B2B business models.

Benefits

Compensation Range: $160K - $250K