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

Airwallex

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

full-timePosted: Dec 3, 2025

Job Description

Senior Data Scientist, Algorithm at Airwallex: Shape the Future of Global Finance

Role Overview

Are you a data science expert passionate about leveraging data and AI to drive business growth? Airwallex is seeking a talented and driven Senior Data Scientist, Algorithm to join our Growth Data Science team. In this role, you'll partner closely with our Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that directly influence how we acquire, engage, and retain customers globally. Your work will be instrumental in shaping Airwallex's growth strategy and solidifying our position as a leader in the global payments and financial platform space. As a Senior Data Scientist, you will be responsible for developing predictive models, applying machine learning techniques, and creating personalization solutions that optimize various aspects of the customer lifecycle. This includes identifying high-value users, measuring the causal impact of marketing initiatives, driving client onboarding efficiencies, and optimizing referral incentive programs. You will have the opportunity to work on complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking.

A Day in the Life

Here’s what a typical day might look like for a Senior Data Scientist, Algorithm at Airwallex: * **Morning:** * Start the day by reviewing the performance of existing machine learning models and identifying areas for improvement. * Attend a stand-up meeting with the Growth Data Science team to discuss progress on current projects and address any roadblocks. * Analyze recent marketing campaign data to assess its impact on customer acquisition and engagement. * **Afternoon:** * Collaborate with the Marketing team to design and implement A/B tests for new marketing initiatives. * Develop a predictive model to identify high-value users based on their behavior and demographics. * Present your findings and recommendations to stakeholders, including Growth and Marketing leaders. * **Evening:** * Research the latest advances in machine learning and data science to identify new opportunities for innovation. * Work on improving the efficiency and scalability of data pipelines. * Mentor junior data scientists on the team. Throughout the day, you'll be working with a variety of tools and technologies, including Python, R, SQL, and cloud computing platforms like AWS or GCP. You'll also be collaborating with other data scientists, engineers, and product managers to ensure that your work is aligned with the overall goals of the company. ## Why Singapore and San Francisco? This Senior Data Scientist, Algorithm role at Airwallex is based in either Singapore or San Francisco. Both locations offer unique advantages: * **Singapore:** Singapore is a global hub for finance and technology, making it an ideal location for Airwallex. Singapore also serves as Airwallex's APAC headquarters. It offers a thriving startup ecosystem, a highly skilled workforce, and a business-friendly environment. The city-state provides a high quality of life, excellent infrastructure, and a diverse cultural scene. Working in Singapore provides opportunities to engage with the rapidly growing Southeast Asian market and contribute to Airwallex's expansion in the region. * **San Francisco:** San Francisco is at the heart of the world's technology and innovation. It's the perfect place to find yourself immersed in an environment ripe for progress and innovation. It is home to some of the world's leading technology companies and offers unparalleled access to talent, capital, and cutting-edge research. San Francisco provides a vibrant cultural scene, a diverse community, and a strong entrepreneurial spirit. Working in San Francisco allows you to be at the forefront of the fintech revolution and contribute to Airwallex's global growth strategy. ## Career Path At Airwallex, we are committed to providing our employees with opportunities for growth and development. The career path for a Senior Data Scientist, Algorithm can lead to various leadership positions within the company. Some potential career paths include: * **Principal Data Scientist:** Lead a team of data scientists and oversee the development of data science solutions for a specific business area. * **Data Science Manager:** Manage a team of data scientists and be responsible for the overall strategy and execution of data science projects. * **Director of Data Science:** Lead a larger data science organization and be responsible for setting the overall direction for data science at Airwallex. * **VP of Data Science:** Oversee all data science activities at Airwallex and report directly to the executive team. In addition to these leadership roles, there are also opportunities to specialize in a particular area of data science, such as machine learning, natural language processing, or causal inference. ## Salary and Benefits Airwallex offers a competitive salary and benefits package to attract and retain top talent. The estimated salary range for a Senior Data Scientist, Algorithm in Singapore or San Francisco is $150,000 to $250,000 USD per year, depending on experience and qualifications. In addition to salary, Airwallex offers a comprehensive benefits package that includes: * Health insurance * Paid time off * Professional development opportunities * Company-sponsored events and activities * Employee assistance program * Wellness programs * Commuter benefits * Flexible work arrangements * Parental leave * Retirement plan * Stock options We are committed to providing our employees with a supportive and rewarding work environment. ## Airwallex Culture At Airwallex, we foster a culture of innovation, collaboration, and ownership. We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. We value individuals who are: * **Humble and collaborative:** We work together to achieve our goals. * **Results-oriented:** We focus on delivering measurable results. * **Data-driven:** We make decisions based on data and insights. * **Curious and innovative:** We are constantly learning and exploring new ideas. * **Passionate about our mission:** We are committed to building the future of global finance. We believe that our culture is one of our greatest assets, and we are committed to maintaining a positive and supportive work environment. ## How to Apply If you are a talented and driven data scientist who is passionate about leveraging data and AI to drive business growth, we encourage you to apply for the Senior Data Scientist, Algorithm position at Airwallex. To apply, please submit your resume and cover letter through our online application portal. In your cover letter, please highlight your relevant experience and qualifications, and explain why you are interested in working at Airwallex. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ## Frequently Asked Questions (FAQ) **1. What is Airwallex?** Airwallex is a global payments and financial platform that empowers businesses to operate globally without borders. We offer a range of solutions, including business accounts, payments, spend management, and treasury management. **2. What does the Growth Data Science team do?** The Growth Data Science team sits at the center of Airwallex's growth engine, turning data and AI into a durable competitive advantage. We build and scale advanced solutions to unlock step-change growth across the customer lifecycle. **3. What skills are required for this role?** The key skills required for this role include machine learning, statistical modeling, data analysis, causal inference, Python or R programming, SQL, and excellent communication skills. **4. What are the responsibilities of a Senior Data Scientist, Algorithm?** The responsibilities include developing predictive models, applying machine learning techniques, creating personalization solutions, and translating data insights into actionable recommendations. **5. What is the career path for this role?** The career path can lead to various leadership positions within the company, such as Principal Data Scientist, Data Science Manager, Director of Data Science, or VP of Data Science. **6. What is the salary range for this role?** The estimated salary range for a Senior Data Scientist, Algorithm in Singapore or San Francisco is $150,000 to $250,000 USD per year. **7. What are the benefits of working at Airwallex?** Airwallex offers a comprehensive benefits package, including health insurance, paid time off, professional development opportunities, and stock options. **8. What is the culture like at Airwallex?** Airwallex fosters a culture of innovation, collaboration, and ownership. We value individuals who are humble, results-oriented, data-driven, curious, and passionate about our mission. **9. How do I apply for this role?** To apply, please submit your resume and cover letter through our online application portal. **10. Is relocation assistance provided?** Relocation assistance may be provided for qualified candidates, depending on their location and circumstances.

Locations

  • Singapore, Singapore
  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

165,000 - 275,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Machine Learningintermediate
  • Statistical Modelingintermediate
  • Predictive Modelingintermediate
  • Personalizationintermediate
  • Data Analysisintermediate
  • Causal Inferenceintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • Customer Acquisitionintermediate
  • Customer Engagementintermediate
  • Customer Retentionintermediate
  • Marketing Analyticsintermediate
  • Growth Hackingintermediate
  • LLM (Large Language Models)intermediate
  • AI (Artificial Intelligence)intermediate
  • Deep Learningintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) (experience)
  • Master's or Ph.D. preferred (experience)
  • 5+ years of experience in a Data Science role (experience)
  • Proven track record of developing and deploying machine learning models in a business setting (experience)
  • Strong understanding of statistical modeling techniques (experience)
  • Experience with causal inference methods (experience)
  • Proficiency in Python or R (experience)
  • Experience with SQL and data manipulation (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to translate complex data insights into actionable recommendations (experience)
  • Experience working with marketing and commercial teams (experience)
  • Strong problem-solving skills (experience)
  • Ability to work independently and as part of a team (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure) (experience)
  • Experience with large datasets and distributed computing (experience)

Responsibilities

  • Develop predictive models to identify high-value users for Marketing and Commercial teams.
  • Apply machine learning and/or statistical models to measure causal impact of marketing initiatives.
  • Develop personalization solutions to drive client onboarding efficiencies, optimize referral incentive impacts, and product cross-selling.
  • Partner closely with Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions.
  • Translate data insights into actionable recommendations that strengthen brand presence and accelerate growth.
  • Conduct A/B testing and experimentation to optimize marketing campaigns and product features.
  • Develop and maintain data pipelines for model training and deployment.
  • Monitor model performance and identify areas for improvement.
  • Communicate findings and recommendations to stakeholders.
  • Stay up-to-date with the latest advances in data science and machine learning.
  • Collaborate with other data scientists and engineers to build and scale data science solutions.
  • Contribute to the development of Airwallex's data science infrastructure.
  • Mentor junior data scientists.
  • Develop and implement strategies for data governance and quality.
  • Explore and evaluate new data sources and technologies.

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health insurance
  • general: Generous paid time off
  • general: Professional development opportunities
  • general: Company-sponsored events and activities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Commuter benefits
  • general: Flexible work arrangements
  • general: Parental leave
  • general: Retirement plan
  • general: Stock options
  • general: Relocation assistance (if applicable)
  • general: Visa sponsorship (if applicable)
  • general: Opportunity to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to work with a global team
  • general: Access to cutting-edge technology
  • general: Career growth opportunities

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Data ScienceMachine LearningAlgorithmSingaporeSan FranciscoGrowthMarketingRelocationSenior Data ScientistAIArtificial IntelligencePredictive ModelingPersonalizationGrowth HackingMarketing AnalyticsCausal InferenceFintechGlobal PaymentsFinancial PlatformCustomer AcquisitionCustomer EngagementCustomer RetentionData AnalysisPythonRSQLCloud ComputingAWSGCPAzureAirwallex CareersFinTechPaymentsEngineeringProduct

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Airwallex logo

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

Airwallex

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

full-timePosted: Dec 3, 2025

Job Description

Senior Data Scientist, Algorithm at Airwallex: Shape the Future of Global Finance

Role Overview

Are you a data science expert passionate about leveraging data and AI to drive business growth? Airwallex is seeking a talented and driven Senior Data Scientist, Algorithm to join our Growth Data Science team. In this role, you'll partner closely with our Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that directly influence how we acquire, engage, and retain customers globally. Your work will be instrumental in shaping Airwallex's growth strategy and solidifying our position as a leader in the global payments and financial platform space. As a Senior Data Scientist, you will be responsible for developing predictive models, applying machine learning techniques, and creating personalization solutions that optimize various aspects of the customer lifecycle. This includes identifying high-value users, measuring the causal impact of marketing initiatives, driving client onboarding efficiencies, and optimizing referral incentive programs. You will have the opportunity to work on complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking.

A Day in the Life

Here’s what a typical day might look like for a Senior Data Scientist, Algorithm at Airwallex: * **Morning:** * Start the day by reviewing the performance of existing machine learning models and identifying areas for improvement. * Attend a stand-up meeting with the Growth Data Science team to discuss progress on current projects and address any roadblocks. * Analyze recent marketing campaign data to assess its impact on customer acquisition and engagement. * **Afternoon:** * Collaborate with the Marketing team to design and implement A/B tests for new marketing initiatives. * Develop a predictive model to identify high-value users based on their behavior and demographics. * Present your findings and recommendations to stakeholders, including Growth and Marketing leaders. * **Evening:** * Research the latest advances in machine learning and data science to identify new opportunities for innovation. * Work on improving the efficiency and scalability of data pipelines. * Mentor junior data scientists on the team. Throughout the day, you'll be working with a variety of tools and technologies, including Python, R, SQL, and cloud computing platforms like AWS or GCP. You'll also be collaborating with other data scientists, engineers, and product managers to ensure that your work is aligned with the overall goals of the company. ## Why Singapore and San Francisco? This Senior Data Scientist, Algorithm role at Airwallex is based in either Singapore or San Francisco. Both locations offer unique advantages: * **Singapore:** Singapore is a global hub for finance and technology, making it an ideal location for Airwallex. Singapore also serves as Airwallex's APAC headquarters. It offers a thriving startup ecosystem, a highly skilled workforce, and a business-friendly environment. The city-state provides a high quality of life, excellent infrastructure, and a diverse cultural scene. Working in Singapore provides opportunities to engage with the rapidly growing Southeast Asian market and contribute to Airwallex's expansion in the region. * **San Francisco:** San Francisco is at the heart of the world's technology and innovation. It's the perfect place to find yourself immersed in an environment ripe for progress and innovation. It is home to some of the world's leading technology companies and offers unparalleled access to talent, capital, and cutting-edge research. San Francisco provides a vibrant cultural scene, a diverse community, and a strong entrepreneurial spirit. Working in San Francisco allows you to be at the forefront of the fintech revolution and contribute to Airwallex's global growth strategy. ## Career Path At Airwallex, we are committed to providing our employees with opportunities for growth and development. The career path for a Senior Data Scientist, Algorithm can lead to various leadership positions within the company. Some potential career paths include: * **Principal Data Scientist:** Lead a team of data scientists and oversee the development of data science solutions for a specific business area. * **Data Science Manager:** Manage a team of data scientists and be responsible for the overall strategy and execution of data science projects. * **Director of Data Science:** Lead a larger data science organization and be responsible for setting the overall direction for data science at Airwallex. * **VP of Data Science:** Oversee all data science activities at Airwallex and report directly to the executive team. In addition to these leadership roles, there are also opportunities to specialize in a particular area of data science, such as machine learning, natural language processing, or causal inference. ## Salary and Benefits Airwallex offers a competitive salary and benefits package to attract and retain top talent. The estimated salary range for a Senior Data Scientist, Algorithm in Singapore or San Francisco is $150,000 to $250,000 USD per year, depending on experience and qualifications. In addition to salary, Airwallex offers a comprehensive benefits package that includes: * Health insurance * Paid time off * Professional development opportunities * Company-sponsored events and activities * Employee assistance program * Wellness programs * Commuter benefits * Flexible work arrangements * Parental leave * Retirement plan * Stock options We are committed to providing our employees with a supportive and rewarding work environment. ## Airwallex Culture At Airwallex, we foster a culture of innovation, collaboration, and ownership. We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. We value individuals who are: * **Humble and collaborative:** We work together to achieve our goals. * **Results-oriented:** We focus on delivering measurable results. * **Data-driven:** We make decisions based on data and insights. * **Curious and innovative:** We are constantly learning and exploring new ideas. * **Passionate about our mission:** We are committed to building the future of global finance. We believe that our culture is one of our greatest assets, and we are committed to maintaining a positive and supportive work environment. ## How to Apply If you are a talented and driven data scientist who is passionate about leveraging data and AI to drive business growth, we encourage you to apply for the Senior Data Scientist, Algorithm position at Airwallex. To apply, please submit your resume and cover letter through our online application portal. In your cover letter, please highlight your relevant experience and qualifications, and explain why you are interested in working at Airwallex. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. ## Frequently Asked Questions (FAQ) **1. What is Airwallex?** Airwallex is a global payments and financial platform that empowers businesses to operate globally without borders. We offer a range of solutions, including business accounts, payments, spend management, and treasury management. **2. What does the Growth Data Science team do?** The Growth Data Science team sits at the center of Airwallex's growth engine, turning data and AI into a durable competitive advantage. We build and scale advanced solutions to unlock step-change growth across the customer lifecycle. **3. What skills are required for this role?** The key skills required for this role include machine learning, statistical modeling, data analysis, causal inference, Python or R programming, SQL, and excellent communication skills. **4. What are the responsibilities of a Senior Data Scientist, Algorithm?** The responsibilities include developing predictive models, applying machine learning techniques, creating personalization solutions, and translating data insights into actionable recommendations. **5. What is the career path for this role?** The career path can lead to various leadership positions within the company, such as Principal Data Scientist, Data Science Manager, Director of Data Science, or VP of Data Science. **6. What is the salary range for this role?** The estimated salary range for a Senior Data Scientist, Algorithm in Singapore or San Francisco is $150,000 to $250,000 USD per year. **7. What are the benefits of working at Airwallex?** Airwallex offers a comprehensive benefits package, including health insurance, paid time off, professional development opportunities, and stock options. **8. What is the culture like at Airwallex?** Airwallex fosters a culture of innovation, collaboration, and ownership. We value individuals who are humble, results-oriented, data-driven, curious, and passionate about our mission. **9. How do I apply for this role?** To apply, please submit your resume and cover letter through our online application portal. **10. Is relocation assistance provided?** Relocation assistance may be provided for qualified candidates, depending on their location and circumstances.

Locations

  • Singapore, Singapore
  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

165,000 - 275,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Machine Learningintermediate
  • Statistical Modelingintermediate
  • Predictive Modelingintermediate
  • Personalizationintermediate
  • Data Analysisintermediate
  • Causal Inferenceintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • Customer Acquisitionintermediate
  • Customer Engagementintermediate
  • Customer Retentionintermediate
  • Marketing Analyticsintermediate
  • Growth Hackingintermediate
  • LLM (Large Language Models)intermediate
  • AI (Artificial Intelligence)intermediate
  • Deep Learningintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) (experience)
  • Master's or Ph.D. preferred (experience)
  • 5+ years of experience in a Data Science role (experience)
  • Proven track record of developing and deploying machine learning models in a business setting (experience)
  • Strong understanding of statistical modeling techniques (experience)
  • Experience with causal inference methods (experience)
  • Proficiency in Python or R (experience)
  • Experience with SQL and data manipulation (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to translate complex data insights into actionable recommendations (experience)
  • Experience working with marketing and commercial teams (experience)
  • Strong problem-solving skills (experience)
  • Ability to work independently and as part of a team (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure) (experience)
  • Experience with large datasets and distributed computing (experience)

Responsibilities

  • Develop predictive models to identify high-value users for Marketing and Commercial teams.
  • Apply machine learning and/or statistical models to measure causal impact of marketing initiatives.
  • Develop personalization solutions to drive client onboarding efficiencies, optimize referral incentive impacts, and product cross-selling.
  • Partner closely with Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions.
  • Translate data insights into actionable recommendations that strengthen brand presence and accelerate growth.
  • Conduct A/B testing and experimentation to optimize marketing campaigns and product features.
  • Develop and maintain data pipelines for model training and deployment.
  • Monitor model performance and identify areas for improvement.
  • Communicate findings and recommendations to stakeholders.
  • Stay up-to-date with the latest advances in data science and machine learning.
  • Collaborate with other data scientists and engineers to build and scale data science solutions.
  • Contribute to the development of Airwallex's data science infrastructure.
  • Mentor junior data scientists.
  • Develop and implement strategies for data governance and quality.
  • Explore and evaluate new data sources and technologies.

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health insurance
  • general: Generous paid time off
  • general: Professional development opportunities
  • general: Company-sponsored events and activities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Commuter benefits
  • general: Flexible work arrangements
  • general: Parental leave
  • general: Retirement plan
  • general: Stock options
  • general: Relocation assistance (if applicable)
  • general: Visa sponsorship (if applicable)
  • general: Opportunity to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to work with a global team
  • general: Access to cutting-edge technology
  • general: Career growth opportunities

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

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Algorithm 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, Algorithm 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 ScienceMachine LearningAlgorithmSingaporeSan FranciscoGrowthMarketingRelocationSenior Data ScientistAIArtificial IntelligencePredictive ModelingPersonalizationGrowth HackingMarketing AnalyticsCausal InferenceFintechGlobal PaymentsFinancial PlatformCustomer AcquisitionCustomer EngagementCustomer RetentionData AnalysisPythonRSQLCloud ComputingAWSGCPAzureAirwallex CareersFinTechPaymentsEngineeringProduct

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