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

Airwallex

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

full-timePosted: Jan 15, 2026

Job Description

Senior Data Scientist, Sales Analytics at Airwallex - Singapore

Role Overview

Airwallex is seeking a highly skilled and motivated Senior Data Scientist to join our Sales Analytics team in Singapore. As a Senior Data Scientist, you will play a crucial role in driving revenue growth and improving commercial efficiency by leveraging data-driven insights. You will work closely with Product, Growth, and Commercial teams to identify opportunities, build predictive models, and develop scalable data science solutions. This role offers the opportunity to make a significant impact on a fast-growing global company.

A Day in the Life

Here's what a typical day might look like:

  • Start the day by reviewing key GTM metrics and identifying any significant shifts or trends.
  • Collaborate with the Sales team to understand their current challenges and identify opportunities for data-driven solutions.
  • Work on building and refining revenue forecasting models to provide accurate predictions of future performance.
  • Conduct exploratory data analysis to uncover hidden patterns and insights that can inform sales and marketing strategies.
  • Develop and implement A/B tests to optimize sales processes and improve conversion rates.
  • Present your findings and recommendations to cross-functional teams and executive stakeholders.
  • Work with engineering teams to deploy models and solutions into production.
  • Stay up-to-date with the latest trends and technologies in data science and sales analytics.
  • Mentor junior data scientists and share your knowledge and expertise.

Why Singapore?

Singapore is a vibrant and dynamic city-state that serves as a hub for innovation and technology in Asia. It offers a high quality of life, a diverse culture, and a thriving business environment. Singapore is also home to a large and growing community of data scientists and other tech professionals, making it an ideal location to advance your career.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you can advance your career in a number of ways, including:

  • Becoming a Lead Data Scientist, where you will lead a team of data scientists and be responsible for the overall data science strategy.
  • Becoming a Principal Data Scientist, where you will be a technical expert and thought leader in the field of data science.
  • Moving into a management role, such as Director of Data Science, where you will be responsible for managing and growing the data science team.

Salary & Benefits

Airwallex offers a competitive salary and benefits package, including:

  • Competitive salary commensurate with experience.
  • Comprehensive health insurance.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Employee stock options.
  • Generous parental leave policy.
  • Flexible work arrangements.
  • Company-sponsored events and activities.
  • Free snacks and drinks in the office.
  • Wellness programs.

Airwallex Culture

At Airwallex, we are building the global payments and financial platform of the future. We are a team of passionate and driven individuals who are committed to making a difference. We value innovation, collaboration, and customer focus. We are also committed to creating a diverse and inclusive work environment where everyone feels welcome and respected.

How to Apply

If you are interested in applying for the Senior Data Scientist, Sales Analytics role at Airwallex, please submit your resume and cover letter through our online application portal. We look forward to hearing from you!

FAQ

  1. What is Airwallex?

    Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide with fully integrated solutions.

  2. What are the key responsibilities of this role?

    The key responsibilities include translating complexity into action, uncovering and scaling revenue insights, building revenue forecasting and performance insights, and applying advanced causal inference methods.

  3. What qualifications are required for this role?

    A bachelor's degree in a quantitative field is required, with a master's or Ph.D. preferred. 5+ years of experience in a data science role focused on sales analytics or related areas is also required.

  4. What skills are important for this role?

    Strong understanding of statistical modeling techniques, proficiency in Python and R, experience with SQL, and excellent communication skills are essential.

  5. What is the work environment like at Airwallex?

    Airwallex offers a collaborative and supportive work environment where employees are encouraged to learn and grow their skills in a fast-paced setting.

  6. What benefits does Airwallex offer?

    Airwallex offers a comprehensive benefits package, including health insurance, paid time off, professional development opportunities, and employee stock options.

  7. What is the career path for this role?

    Opportunities for advancement include becoming a Lead Data Scientist, Principal Data Scientist, or moving into a management role such as Director of Data Science.

  8. Why is Singapore a good location for this role?

    Singapore is a hub for innovation and technology in Asia, offering a high quality of life and a thriving business environment.

  9. How does Airwallex use AI?

    Airwallex encourages the use of AI to work smarter and solve problems faster. You'll be using AI to translate insights into scalable models and solid data foundations.

  10. What kind of impact can I expect to have?

    You will tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. You will also contribute to the development of a data-driven culture at Airwallex.

Locations

  • Singapore, Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

132,000 - 220,000 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
  • Sales Analyticsintermediate
  • Revenue Forecastingintermediate
  • Causal Inferenceintermediate
  • Statistical Modelingintermediate
  • Machine Learningintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • A/B Testingintermediate
  • Experimentationintermediate
  • GTM Strategyintermediate
  • Product Analyticsintermediate
  • Growth Analyticsintermediate
  • Communicationintermediate
  • Stakeholder Managementintermediate
  • Problem-solvingintermediate
  • Critical Thinkingintermediate
  • Business Acumenintermediate
  • Data Miningintermediate
  • Predictive Modelingintermediate
  • Data Analysisintermediate
  • ETL Processesintermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Big Data Technologies (Spark, Hadoop)intermediate

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 sales analytics or related areas. (experience)
  • Strong understanding of statistical modeling techniques (e.g., regression, time series analysis, clustering). (experience)
  • Experience with causal inference methods (e.g., DiD, synthetic control). (experience)
  • Proficiency in programming languages such as Python and R. (experience)
  • Experience with SQL and data warehousing technologies. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Excellent communication and presentation skills. (experience)
  • Experience working with large datasets and cloud-based computing platforms (e.g., AWS, GCP, Azure). (experience)
  • Proven ability to work independently and as part of a team. (experience)
  • Experience in building and deploying machine learning models. (experience)
  • Familiarity with A/B testing and experimentation methodologies. (experience)
  • Experience working with sales, marketing, or product teams. (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 understand the impact of different initiatives and interventions.
  • Collaborate with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex.
  • Design and implement A/B tests and other experiments to optimize sales and marketing strategies.
  • Build and maintain data pipelines to ensure data quality and accessibility.
  • Develop and maintain dashboards and reports to track key GTM metrics.
  • Mentor and coach junior data scientists.
  • Stay up-to-date with the latest trends and technologies in data science and sales analytics.
  • Work closely with engineering teams to deploy models and solutions into production.
  • Identify opportunities to leverage AI and machine learning to improve commercial efficiency.
  • Contribute to the development of a data-driven culture at Airwallex.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunity to work on challenging and impactful projects.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to learn and grow your skills in a fast-paced environment.
  • general: Exposure to cutting-edge technologies and methodologies.
  • general: Opportunity to work with a global team of talented individuals.
  • general: Comprehensive health insurance.
  • general: Paid time off and holidays.
  • general: Professional development opportunities.
  • general: Employee stock options.
  • general: Generous parental leave policy.
  • general: Flexible work arrangements.
  • general: Company-sponsored events and activities.
  • general: Relocation assistance (if applicable).
  • general: Free snacks and drinks in the office.
  • general: Wellness programs.

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Tags & Categories

Data ScienceSales AnalyticsSingaporeRevenue ForecastingCausal InferenceStatistical ModelingMachine LearningPythonRSQLData VisualizationA/B TestingExperimentationGTM StrategyProduct AnalyticsGrowth AnalyticsFintechPaymentsGlobal PaymentsAirwallexCareerJobData AnalysisPredictive ModelingCommercial EfficiencyData-Driven InsightsAIMachine Learning ModelsFinTechPaymentsEngineeringProduct

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Airwallex logo

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

Airwallex

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

full-timePosted: Jan 15, 2026

Job Description

Senior Data Scientist, Sales Analytics at Airwallex - Singapore

Role Overview

Airwallex is seeking a highly skilled and motivated Senior Data Scientist to join our Sales Analytics team in Singapore. As a Senior Data Scientist, you will play a crucial role in driving revenue growth and improving commercial efficiency by leveraging data-driven insights. You will work closely with Product, Growth, and Commercial teams to identify opportunities, build predictive models, and develop scalable data science solutions. This role offers the opportunity to make a significant impact on a fast-growing global company.

A Day in the Life

Here's what a typical day might look like:

  • Start the day by reviewing key GTM metrics and identifying any significant shifts or trends.
  • Collaborate with the Sales team to understand their current challenges and identify opportunities for data-driven solutions.
  • Work on building and refining revenue forecasting models to provide accurate predictions of future performance.
  • Conduct exploratory data analysis to uncover hidden patterns and insights that can inform sales and marketing strategies.
  • Develop and implement A/B tests to optimize sales processes and improve conversion rates.
  • Present your findings and recommendations to cross-functional teams and executive stakeholders.
  • Work with engineering teams to deploy models and solutions into production.
  • Stay up-to-date with the latest trends and technologies in data science and sales analytics.
  • Mentor junior data scientists and share your knowledge and expertise.

Why Singapore?

Singapore is a vibrant and dynamic city-state that serves as a hub for innovation and technology in Asia. It offers a high quality of life, a diverse culture, and a thriving business environment. Singapore is also home to a large and growing community of data scientists and other tech professionals, making it an ideal location to advance your career.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you can advance your career in a number of ways, including:

  • Becoming a Lead Data Scientist, where you will lead a team of data scientists and be responsible for the overall data science strategy.
  • Becoming a Principal Data Scientist, where you will be a technical expert and thought leader in the field of data science.
  • Moving into a management role, such as Director of Data Science, where you will be responsible for managing and growing the data science team.

Salary & Benefits

Airwallex offers a competitive salary and benefits package, including:

  • Competitive salary commensurate with experience.
  • Comprehensive health insurance.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Employee stock options.
  • Generous parental leave policy.
  • Flexible work arrangements.
  • Company-sponsored events and activities.
  • Free snacks and drinks in the office.
  • Wellness programs.

Airwallex Culture

At Airwallex, we are building the global payments and financial platform of the future. We are a team of passionate and driven individuals who are committed to making a difference. We value innovation, collaboration, and customer focus. We are also committed to creating a diverse and inclusive work environment where everyone feels welcome and respected.

How to Apply

If you are interested in applying for the Senior Data Scientist, Sales Analytics role at Airwallex, please submit your resume and cover letter through our online application portal. We look forward to hearing from you!

FAQ

  1. What is Airwallex?

    Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide with fully integrated solutions.

  2. What are the key responsibilities of this role?

    The key responsibilities include translating complexity into action, uncovering and scaling revenue insights, building revenue forecasting and performance insights, and applying advanced causal inference methods.

  3. What qualifications are required for this role?

    A bachelor's degree in a quantitative field is required, with a master's or Ph.D. preferred. 5+ years of experience in a data science role focused on sales analytics or related areas is also required.

  4. What skills are important for this role?

    Strong understanding of statistical modeling techniques, proficiency in Python and R, experience with SQL, and excellent communication skills are essential.

  5. What is the work environment like at Airwallex?

    Airwallex offers a collaborative and supportive work environment where employees are encouraged to learn and grow their skills in a fast-paced setting.

  6. What benefits does Airwallex offer?

    Airwallex offers a comprehensive benefits package, including health insurance, paid time off, professional development opportunities, and employee stock options.

  7. What is the career path for this role?

    Opportunities for advancement include becoming a Lead Data Scientist, Principal Data Scientist, or moving into a management role such as Director of Data Science.

  8. Why is Singapore a good location for this role?

    Singapore is a hub for innovation and technology in Asia, offering a high quality of life and a thriving business environment.

  9. How does Airwallex use AI?

    Airwallex encourages the use of AI to work smarter and solve problems faster. You'll be using AI to translate insights into scalable models and solid data foundations.

  10. What kind of impact can I expect to have?

    You will tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. You will also contribute to the development of a data-driven culture at Airwallex.

Locations

  • Singapore, Singapore, Singapore

Salary

Estimated Salary Rangemedium confidence

132,000 - 220,000 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
  • Sales Analyticsintermediate
  • Revenue Forecastingintermediate
  • Causal Inferenceintermediate
  • Statistical Modelingintermediate
  • Machine Learningintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • A/B Testingintermediate
  • Experimentationintermediate
  • GTM Strategyintermediate
  • Product Analyticsintermediate
  • Growth Analyticsintermediate
  • Communicationintermediate
  • Stakeholder Managementintermediate
  • Problem-solvingintermediate
  • Critical Thinkingintermediate
  • Business Acumenintermediate
  • Data Miningintermediate
  • Predictive Modelingintermediate
  • Data Analysisintermediate
  • ETL Processesintermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Big Data Technologies (Spark, Hadoop)intermediate

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 sales analytics or related areas. (experience)
  • Strong understanding of statistical modeling techniques (e.g., regression, time series analysis, clustering). (experience)
  • Experience with causal inference methods (e.g., DiD, synthetic control). (experience)
  • Proficiency in programming languages such as Python and R. (experience)
  • Experience with SQL and data warehousing technologies. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Excellent communication and presentation skills. (experience)
  • Experience working with large datasets and cloud-based computing platforms (e.g., AWS, GCP, Azure). (experience)
  • Proven ability to work independently and as part of a team. (experience)
  • Experience in building and deploying machine learning models. (experience)
  • Familiarity with A/B testing and experimentation methodologies. (experience)
  • Experience working with sales, marketing, or product teams. (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 understand the impact of different initiatives and interventions.
  • Collaborate with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex.
  • Design and implement A/B tests and other experiments to optimize sales and marketing strategies.
  • Build and maintain data pipelines to ensure data quality and accessibility.
  • Develop and maintain dashboards and reports to track key GTM metrics.
  • Mentor and coach junior data scientists.
  • Stay up-to-date with the latest trends and technologies in data science and sales analytics.
  • Work closely with engineering teams to deploy models and solutions into production.
  • Identify opportunities to leverage AI and machine learning to improve commercial efficiency.
  • Contribute to the development of a data-driven culture at Airwallex.

Benefits

  • general: Competitive salary and benefits package.
  • general: Opportunity to work on challenging and impactful projects.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to learn and grow your skills in a fast-paced environment.
  • general: Exposure to cutting-edge technologies and methodologies.
  • general: Opportunity to work with a global team of talented individuals.
  • general: Comprehensive health insurance.
  • general: Paid time off and holidays.
  • general: Professional development opportunities.
  • general: Employee stock options.
  • general: Generous parental leave policy.
  • general: Flexible work arrangements.
  • general: Company-sponsored events and activities.
  • general: Relocation assistance (if applicable).
  • general: Free snacks and drinks in the office.
  • general: Wellness programs.

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

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Sales Analytics 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, Sales Analytics 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 ScienceSales AnalyticsSingaporeRevenue ForecastingCausal InferenceStatistical ModelingMachine LearningPythonRSQLData VisualizationA/B TestingExperimentationGTM StrategyProduct AnalyticsGrowth AnalyticsFintechPaymentsGlobal PaymentsAirwallexCareerJobData AnalysisPredictive ModelingCommercial EfficiencyData-Driven InsightsAIMachine Learning ModelsFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, Sales Analytics 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.