Staff Data Scientist, Revenue Job at Airwallex (Singapore)

Staff Data Scientist, Analytics (Revenue Strategy)

The Strategic Data Science team provides Airwallex’s Leadership with the data, t...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy
Expertise in causal inference methods and forecasting
Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R)
Experience with data architecture technologies such as Airflow, Databricks, and dbt

Job Responsibility

Be the go-to data partner for the CEO and Regional Business Leads
Use causal inference methods to understand how macroeconomic events impact the business
Leverage AI to generate insights and improve business and team efficiency
Lead Airwallex’s forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts
Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions
Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking

Fulltime

Staff Data Scientist, GTM Analytics

We’re looking for talented Data Scientist who can push the boundaries of our exi...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline)
Strong analytical intuition and structured problem-solving
Excellent communicator and storyteller
Deep curiosity about GTM performance and customer behavior
Strong foundations in causal inference and forecasting
High fluency in analytics tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation

Job Responsibility

Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences
Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics—and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models
Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable “source of truth” that helps teams make faster, better commercial decisions
Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible
Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion

Fulltime

Staff Data Scientist, Sales Analytics

We’re looking for talented Data Scientist who can push the boundaries of our exi...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline)
Strong analytical intuition and structured problem-solving
Excellent communicator and storyteller
Deep curiosity about GTM performance and customer behavior
Strong foundations in causal inference and forecasting
High fluency in analytics tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation

Job Responsibility

Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences
Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics—and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models
Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable “source of truth” that helps teams make faster, better commercial decisions
Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible
Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion

Fulltime