Senior Data Scientist, Product Analytics

airwallex (singapore) pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Airwallex is seeking a Senior Data Scientist to shape product and business strategy through quantitative analysis, experimentation, and statistics. You will turn complex data into clear recommendations that improve decision quality and guide roadmap and investments.

Collaborate with Product, Engineering, Marketing, Finance, and executives to define success metrics, measure impact, and build scalable analytics systems that answer critical business questions and drive measurable outcomes.

Qualifications

• At least five years of industry experience in data science, analytics, or a related quantitative discipline.
• A degree in Computer Science, a quantitative discipline, or a related field.
• Expert-level experience with SQL and Python, R, or comparable scripting and statistical tools.
• Strong experience applying statistical analysis, experimentation, and quantitative methods to drive data-informed decisions.
• Experience working with large and complex datasets to solve ambiguous business or product problems.
• Experience communicating analytical findings and recommendations to executives and cross-functional stakeholders.
• A track record of influencing product strategy, investment decisions, or roadmaps through data.
• Strong understanding of data modelling and schema design.

Responsibilities

• Drive product and business decisions by translating complex data into clear, actionable recommendations.
• Build scalable analytics systems and decision frameworks that help teams understand what changed, determine what to do next, and learn whether an action worked.
• Partner with Product, Engineering, Marketing, Sales, Finance, and other cross-functional teams to identify opportunities, define success metrics, and measure the impact of initiatives.
• Improve decision quality by applying statistical analysis, experimentation, and quantitative methods to large and complex datasets.
• Influence product strategy, investment decisions, and roadmaps through reliable analysis and clear communication with executives and cross-functional stakeholders.

Skills

SQL

Python

R

Statistical analysis

Experimentation

Data modelling

Communication with executives

Cross-functional collaboration

Influencing product strategy

Education

Degree in Computer Science or quantitative field

Job description

How you'll make impact

You'll shape product and business strategy through rigorous quantitative analysis, experimentation, and statistical thinking. You'll turn complex data into clear recommendations that improve decision quality, reduce decision latency, and guide roadmap and investment decisions.

• Drive product and business decisions by translating complex data into clear, actionable recommendations.

• Build scalable analytics systems and decision frameworks that help teams understand what changed, determine what to do next, and learn whether an action worked.

• Partner with Product, Engineering, Marketing, Sales, Finance, and other cross-functional teams to identify opportunities, define success metrics, and measure the impact of initiatives.

• Improve decision quality by applying statistical analysis, experimentation, and quantitative methods to large and complex datasets.

• Influence product strategy, investment decisions, and roadmaps through reliable analysis and clear communication with executives and cross-functional stakeholders.

What we're looking for

Essentials

• At least five years of industry experience in data science, analytics, or a related quantitative discipline.

• A degree in Computer Science, a quantitative discipline, or a related field.

• Expert-level experience with SQL and Python, R, or comparable scripting and statistical tools.

• Strong experience applying statistical analysis, experimentation, and quantitative methods to drive data-informed decisions.

• Experience working with large and complex datasets to solve ambiguous business or product problems.

• Experience communicating analytical findings and recommendations to executives and cross-functional stakeholders.

• A track record of influencing product strategy, investment decisions, or roadmaps through data.

• Strong understanding of data modelling and schema design.

Preferred

• Experience in technology, financial services, fintech, or another high-growth environment.

• Experience building scalable analytics systems, experimentation frameworks, or decision-support infrastructure.

• Experience applying machine learning or AI to product, business, or customer problems.
  

Learn more about your team

Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action. We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimises product and business outcomes in real time.

The work spans analytics harnesses, experimentation, machine learning, AI, and production systems that improve decision quality and drive measurable business outcomes.