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Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!

Airwallex

Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Jan 15, 2026

Job Description

Senior Data Scientist, Revenue at Airwallex - Singapore

Role Overview

Airwallex is seeking a talented and experienced Senior Data Scientist to join our Revenue team in Singapore. In this role, you will be responsible for leveraging data science techniques to drive revenue growth and improve commercial efficiency. You will partner closely with Product, Growth, and Commercial teams to identify opportunities, build models, and provide actionable insights. This is an exciting opportunity to join a fast-growing company and make a significant impact on our business.

A Day in the Life

As a Senior Data Scientist, Revenue, your day might involve: * Analyzing large datasets to identify trends and patterns related to revenue generation. * Building and maintaining revenue forecasting models. * Applying causal inference methods to measure the impact of GTM initiatives. * Designing and implementing A/B tests to optimize marketing campaigns. * Presenting findings and recommendations to cross-functional teams and executive audiences. * Collaborating with engineers to build and deploy data-driven solutions. * Staying up-to-date with the latest advancements in data science and AI. ## Why Singapore? Singapore serves as Airwallex's regional hub in Asia-Pacific, making it a strategic location for driving revenue growth. The city-state boasts a thriving tech ecosystem, a highly skilled workforce, and a business-friendly environment. Being based in Singapore will allow you to: * Collaborate closely with regional teams. * Gain exposure to diverse markets and customer segments. * Contribute to Airwallex's expansion in the Asia-Pacific region. * Enjoy a high quality of life in a vibrant and multicultural city. ## Career Path At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, Revenue, you can expect to: * Expand your technical skills in data science and machine learning. * Develop your leadership abilities by mentoring junior data scientists. * Gain a deeper understanding of the payments and financial services industry. * Advance your career into roles such as Principal Data Scientist or Data Science Manager. ## Salary and Benefits Airwallex offers a competitive salary and benefits package, including: * Competitive salary ranging from $120,000 to $180,000 USD annually (depending on experience). * Equity in a fast-growing company. * Comprehensive health insurance. * Generous paid time off. * Professional development opportunities. * Flexible work arrangements. * Employee assistance program. * Parental leave. * Wellness programs. * Commuter benefits. * Free lunch and snacks. * Company social events. ## Airwallex Culture At Airwallex, we foster a culture of innovation, collaboration, and ownership. We are looking for individuals who are: * Passionate about solving complex problems. * Driven to make a positive impact. * Humble and collaborative. * Eager to learn and grow. * Committed to our operating principles. ## How to Apply If you are interested in joining our team, please submit your application online. Be sure to include your resume and a cover letter highlighting your relevant experience and skills. ## Frequently Asked Questions (FAQ) 1. **What is Airwallex?** Airwallex is a global payments and financial platform for businesses of all sizes. 2. **What does Airwallex do?** Airwallex helps businesses manage their finances, make and receive payments, and expand globally. 3. **Where is Airwallex located?** Airwallex has offices in over 20 locations around the world, including Singapore, Melbourne, and San Francisco. 4. **What is the culture like at Airwallex?** Airwallex fosters a culture of innovation, collaboration, and ownership. 5. **What are the benefits of working at Airwallex?** Airwallex offers a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities. 6. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager. 7. **What skills are required for this role?** Strong skills in data science, machine learning, SQL, and communication are required. 8. **What is the salary range for this role?** The salary range for this role is $120,000 to $180,000 USD annually. 9. **What are the opportunities for growth at Airwallex?** Airwallex is committed to providing employees with opportunities for growth and development. 10. **How do I apply for this role?** You can apply for this role online by submitting your resume and cover letter.

Locations

  • Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

132,000 - 198,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Revenue Forecastingintermediate
  • Causal Inferenceintermediate
  • Statistical Modelingintermediate
  • Data Analysisintermediate
  • Machine Learningintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Data Visualizationintermediate
  • Communication Skillsintermediate
  • Problem-Solvingintermediate
  • Collaborationintermediate
  • Business Acumenintermediate
  • AIintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). (experience)
  • Master's or Ph.D. degree preferred. (experience)
  • 5+ years of experience in a data science role focused on revenue generation or growth. (experience)
  • Strong understanding of statistical modeling techniques (e.g., regression, time series analysis, classification). (experience)
  • Proficiency in SQL and at least one scripting language (Python or R). (experience)
  • Experience with causal inference methods (e.g., DiD, synthetic control). (experience)
  • Experience building revenue forecasting models. (experience)
  • Excellent communication and presentation skills. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Experience working with large datasets and cloud-based data platforms (e.g., AWS, GCP, Azure). (experience)

Responsibilities

  • Translate complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences.
  • Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics.
  • Operationalize learnings into repeatable workflows, automated pipelines, and scalable data science operating models.
  • Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning).
  • Provide a reliable “source of truth” that helps teams make faster, better commercial decisions.
  • Apply advanced observational causal inference methods (e.g., DiD, synthetic control) to measure the impact of GTM initiatives and inform resource allocation.
  • Design and implement A/B tests to optimize marketing campaigns and sales strategies.
  • Collaborate with Product, Growth, and Commercial teams to define data science requirements and build data-driven solutions.
  • Develop and maintain data pipelines for collecting, cleaning, and transforming data.
  • Build and deploy machine learning models to automate revenue-related tasks.
  • Stay up-to-date with the latest advancements in data science and AI.
  • Mentor junior data scientists and contribute to the development of the data science team.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health insurance.
  • general: Generous paid time off.
  • general: Professional development opportunities.
  • general: Flexible work arrangements.
  • general: Employee assistance program.
  • general: Parental leave.
  • general: Wellness programs.
  • general: Commuter benefits.
  • general: Free lunch and snacks.
  • general: Company social events.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to grow your career at a fast-growing company.

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Tags & Categories

Data ScienceRevenueSingaporeForecastingCausal InferenceSenior LevelAirwallexStatistical ModelingData AnalysisMachine LearningSQLPythonRData VisualizationCommunication SkillsProblem-SolvingCollaborationBusiness AcumenGTM StrategyCommercial EfficiencyPipeline HealthConversion DriversRetention DriversScenario PlanningA/B TestingCloud ComputingAWSGCPAzureFinTechPaymentsEngineeringProduct

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Airwallex logo

Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!

Airwallex

Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Jan 15, 2026

Job Description

Senior Data Scientist, Revenue at Airwallex - Singapore

Role Overview

Airwallex is seeking a talented and experienced Senior Data Scientist to join our Revenue team in Singapore. In this role, you will be responsible for leveraging data science techniques to drive revenue growth and improve commercial efficiency. You will partner closely with Product, Growth, and Commercial teams to identify opportunities, build models, and provide actionable insights. This is an exciting opportunity to join a fast-growing company and make a significant impact on our business.

A Day in the Life

As a Senior Data Scientist, Revenue, your day might involve: * Analyzing large datasets to identify trends and patterns related to revenue generation. * Building and maintaining revenue forecasting models. * Applying causal inference methods to measure the impact of GTM initiatives. * Designing and implementing A/B tests to optimize marketing campaigns. * Presenting findings and recommendations to cross-functional teams and executive audiences. * Collaborating with engineers to build and deploy data-driven solutions. * Staying up-to-date with the latest advancements in data science and AI. ## Why Singapore? Singapore serves as Airwallex's regional hub in Asia-Pacific, making it a strategic location for driving revenue growth. The city-state boasts a thriving tech ecosystem, a highly skilled workforce, and a business-friendly environment. Being based in Singapore will allow you to: * Collaborate closely with regional teams. * Gain exposure to diverse markets and customer segments. * Contribute to Airwallex's expansion in the Asia-Pacific region. * Enjoy a high quality of life in a vibrant and multicultural city. ## Career Path At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, Revenue, you can expect to: * Expand your technical skills in data science and machine learning. * Develop your leadership abilities by mentoring junior data scientists. * Gain a deeper understanding of the payments and financial services industry. * Advance your career into roles such as Principal Data Scientist or Data Science Manager. ## Salary and Benefits Airwallex offers a competitive salary and benefits package, including: * Competitive salary ranging from $120,000 to $180,000 USD annually (depending on experience). * Equity in a fast-growing company. * Comprehensive health insurance. * Generous paid time off. * Professional development opportunities. * Flexible work arrangements. * Employee assistance program. * Parental leave. * Wellness programs. * Commuter benefits. * Free lunch and snacks. * Company social events. ## Airwallex Culture At Airwallex, we foster a culture of innovation, collaboration, and ownership. We are looking for individuals who are: * Passionate about solving complex problems. * Driven to make a positive impact. * Humble and collaborative. * Eager to learn and grow. * Committed to our operating principles. ## How to Apply If you are interested in joining our team, please submit your application online. Be sure to include your resume and a cover letter highlighting your relevant experience and skills. ## Frequently Asked Questions (FAQ) 1. **What is Airwallex?** Airwallex is a global payments and financial platform for businesses of all sizes. 2. **What does Airwallex do?** Airwallex helps businesses manage their finances, make and receive payments, and expand globally. 3. **Where is Airwallex located?** Airwallex has offices in over 20 locations around the world, including Singapore, Melbourne, and San Francisco. 4. **What is the culture like at Airwallex?** Airwallex fosters a culture of innovation, collaboration, and ownership. 5. **What are the benefits of working at Airwallex?** Airwallex offers a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities. 6. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager. 7. **What skills are required for this role?** Strong skills in data science, machine learning, SQL, and communication are required. 8. **What is the salary range for this role?** The salary range for this role is $120,000 to $180,000 USD annually. 9. **What are the opportunities for growth at Airwallex?** Airwallex is committed to providing employees with opportunities for growth and development. 10. **How do I apply for this role?** You can apply for this role online by submitting your resume and cover letter.

Locations

  • Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

132,000 - 198,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • Revenue Forecastingintermediate
  • Causal Inferenceintermediate
  • Statistical Modelingintermediate
  • Data Analysisintermediate
  • Machine Learningintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Data Visualizationintermediate
  • Communication Skillsintermediate
  • Problem-Solvingintermediate
  • Collaborationintermediate
  • Business Acumenintermediate
  • AIintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). (experience)
  • Master's or Ph.D. degree preferred. (experience)
  • 5+ years of experience in a data science role focused on revenue generation or growth. (experience)
  • Strong understanding of statistical modeling techniques (e.g., regression, time series analysis, classification). (experience)
  • Proficiency in SQL and at least one scripting language (Python or R). (experience)
  • Experience with causal inference methods (e.g., DiD, synthetic control). (experience)
  • Experience building revenue forecasting models. (experience)
  • Excellent communication and presentation skills. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Experience working with large datasets and cloud-based data platforms (e.g., AWS, GCP, Azure). (experience)

Responsibilities

  • Translate complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences.
  • Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics.
  • Operationalize learnings into repeatable workflows, automated pipelines, and scalable data science operating models.
  • Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning).
  • Provide a reliable “source of truth” that helps teams make faster, better commercial decisions.
  • Apply advanced observational causal inference methods (e.g., DiD, synthetic control) to measure the impact of GTM initiatives and inform resource allocation.
  • Design and implement A/B tests to optimize marketing campaigns and sales strategies.
  • Collaborate with Product, Growth, and Commercial teams to define data science requirements and build data-driven solutions.
  • Develop and maintain data pipelines for collecting, cleaning, and transforming data.
  • Build and deploy machine learning models to automate revenue-related tasks.
  • Stay up-to-date with the latest advancements in data science and AI.
  • Mentor junior data scientists and contribute to the development of the data science team.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health insurance.
  • general: Generous paid time off.
  • general: Professional development opportunities.
  • general: Flexible work arrangements.
  • general: Employee assistance program.
  • general: Parental leave.
  • general: Wellness programs.
  • general: Commuter benefits.
  • general: Free lunch and snacks.
  • general: Company social events.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to grow your career at a fast-growing company.

Target Your Resume for "Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!" , Airwallex

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!" , Airwallex

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ScienceRevenueSingaporeForecastingCausal InferenceSenior LevelAirwallexStatistical ModelingData AnalysisMachine LearningSQLPythonRData VisualizationCommunication SkillsProblem-SolvingCollaborationBusiness AcumenGTM StrategyCommercial EfficiencyPipeline HealthConversion DriversRetention DriversScenario PlanningA/B TestingCloud ComputingAWSGCPAzureFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now! @ Airwallex.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.