Resume and JobRESUME AND JOB
Airwallex logo

Senior Data Scientist, Analytics (Product) Careers at Airwallex - Singapore | Apply Now!

Airwallex

Senior Data Scientist, Analytics (Product) Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Jan 16, 2026

Job Description

Senior Data Scientist, Analytics (Product) at Airwallex - Singapore

Role Overview

As a Senior Data Scientist in the Analytics (Product) team at Airwallex, you will play a crucial role in driving product strategy and decision-making through data-driven insights. You will work with large and complex datasets to identify opportunities to improve our products, enhance user experiences, and drive business growth. You will collaborate with product managers, engineers, and other stakeholders to define key metrics, design and analyze experiments, and communicate findings to influence product roadmaps. This role is based in Singapore.

A Day in the Life

A typical day for a Senior Data Scientist in this role might involve:

  • Collaborating with product managers to define key performance indicators (KPIs) for new product features.
  • Designing and analyzing A/B tests to optimize user experiences and improve product performance.
  • Building and maintaining dashboards to track key metrics and identify trends.
  • Conducting exploratory data analysis to uncover insights and opportunities for product improvement.
  • Presenting findings and recommendations to stakeholders at all levels of the organization.
  • Working with data engineers to ensure data quality and availability.
  • Staying up-to-date with the latest trends and technologies in data science and analytics.

Why Singapore?

Singapore is a vibrant and dynamic hub for technology and innovation in Southeast Asia. It offers a thriving fintech ecosystem, a highly skilled workforce, and a supportive regulatory environment. Airwallex's presence in Singapore allows you to be at the forefront of the fintech revolution, working alongside some of the brightest minds in the industry. Singapore also boasts a high quality of life, with excellent infrastructure, diverse culture, and a wide range of recreational activities.

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 by taking on more complex projects, leading cross-functional teams, and mentoring junior data scientists. You can also specialize in a particular area of data science, such as machine learning or experimentation. Airwallex offers a variety of training and development programs to help you achieve your career goals.

Salary & Benefits

The estimated salary range for a Senior Data Scientist in Singapore is between $120,000 and $200,000 USD per year, commensurate with experience and qualifications. In addition to a competitive salary, Airwallex offers a comprehensive benefits package, including:

  • Health insurance
  • Paid time off
  • Professional development opportunities
  • Flexible work arrangements
  • Employee assistance program

Airwallex Culture

Airwallex is a fast-paced, innovative company with a strong focus on collaboration and teamwork. We value our employees and provide them with opportunities to learn, grow, and make a real impact on the business. We are committed to creating a diverse and inclusive work environment where everyone feels valued and respected.

How to Apply

If you are interested in applying for the Senior Data Scientist, Analytics (Product) role at Airwallex, please submit your resume and cover letter through our online application portal. We encourage you to highlight your relevant skills and experience, as well as your passion for data science and fintech.

FAQ

  1. What are the key responsibilities of a Senior Data Scientist at Airwallex? The Senior Data Scientist is responsible for defining, understanding, and testing opportunities to improve the product, working with large datasets, applying quantitative analysis, and partnering with cross-functional teams.
  2. What qualifications are required for this role? The minimum qualifications include a degree in a quantitative field and at least 5 years of industry experience.
  3. What skills are valuable for this position? Strong skills in SQL, data mining, statistical modeling, and communication are highly valued.
  4. What is the typical career path for a Data Scientist at Airwallex? Data Scientists can advance by taking on more complex projects, leading teams, or specializing in areas like machine learning.
  5. What kind of culture does Airwallex promote? Airwallex fosters a collaborative, innovative, and inclusive work environment.
  6. What benefits does Airwallex offer to its employees? Airwallex offers competitive salaries, health insurance, paid time off, and professional development opportunities.
  7. What is it like working in Singapore? Singapore provides a dynamic fintech ecosystem, a skilled workforce, and a high quality of life.
  8. How does Airwallex support employee growth? Airwallex offers training programs and opportunities to learn and grow within the company.
  9. What types of projects will I work on as a Senior Data Scientist? You will work on projects related to product strategy, experimentation, and improving user experiences.
  10. How does the Data Science team collaborate with other teams? The Data Science team collaborates with Product, Engineering, Marketing, Sales, and Finance teams.

Locations

  • 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 Analysisintermediate
  • Statistical Modelingintermediate
  • SQLintermediate
  • Data Miningintermediate
  • Experimentationintermediate
  • Product Strategyintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Cross-functional Collaborationintermediate
  • Product Analyticsintermediate
  • Data Engineeringintermediate
  • Business Intelligenceintermediate
  • Fintechintermediate
  • Machine Learningintermediate
  • Pythonintermediate

Required Qualifications

  • Minimum 5 years of industry experience in a data science or analytics role (experience)
  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or related field (experience)
  • Strong proficiency in SQL and experience with large datasets (experience)
  • Experience with statistical modeling techniques and machine learning algorithms (experience)
  • Proven ability to communicate complex analytical findings to technical and non-technical audiences (experience)
  • Experience working with product and engineering teams to drive product strategy and investment decisions (experience)
  • Strong understanding of product development lifecycle (experience)
  • Experience with data visualization tools such as Tableau or similar (experience)
  • Experience with A/B testing and experimentation methodologies (experience)
  • Ability to independently drive projects from conception to completion (experience)
  • Experience in the fintech industry is a plus (experience)
  • Excellent problem-solving skills and analytical abilities (experience)
  • Ability to thrive in a fast-paced, dynamic environment (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP) (experience)
  • Experience with programming languages such as Python or R (experience)

Responsibilities

  • Define, understand, and test opportunities and levers to improve the product using data-driven insights
  • Drive product roadmaps based on analytical findings and recommendations
  • Work with large and complex datasets to solve a wide array of business problems
  • Apply technical expertise with quantitative analysis, experimentation, and data mining techniques
  • Develop strategies for products through the presentation of data and insights
  • Identify and measure the success of product efforts through goal setting, forecasting, and monitoring key product metrics
  • Understand trends in product usage and performance
  • Partner with Product, Engineering, and cross-functional teams to inform and influence product strategy
  • Support the execution of product strategy and investment decisions
  • Design and analyze A/B tests to optimize product features and user experiences
  • Develop and maintain dashboards and reports to track key product metrics
  • Communicate insights and recommendations to stakeholders at all levels of the organization
  • Collaborate with data engineers to ensure data quality and availability
  • Contribute to the development of data science best practices and standards
  • Stay up-to-date with the latest trends and technologies in data science and analytics

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off policy
  • general: Professional development opportunities
  • general: Opportunity to work on challenging and impactful problems
  • general: Collaborative and supportive work environment
  • general: Access to cutting-edge technologies and tools
  • general: Flexible work arrangements
  • general: Employee assistance program
  • general: Wellness programs
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Retirement savings plan
  • general: Paid parental leave
  • general: Learning and development budget

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

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Analytics (Product) 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, Analytics (Product) 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 ScienceAnalyticsProductSingaporeFintechSenior Data ScientistProduct AnalyticsAirwallexSQLData MiningStatistical ModelingExperimentationProduct StrategyData VisualizationCommunicationCross-functional CollaborationData EngineeringBusiness IntelligenceMachine LearningPythonRA/B TestingKPIsProduct DevelopmentData AnalysisCareerJobHiringFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, Analytics (Product) 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.

Airwallex logo

Senior Data Scientist, Analytics (Product) Careers at Airwallex - Singapore | Apply Now!

Airwallex

Senior Data Scientist, Analytics (Product) Careers at Airwallex - Singapore | Apply Now!

full-timePosted: Jan 16, 2026

Job Description

Senior Data Scientist, Analytics (Product) at Airwallex - Singapore

Role Overview

As a Senior Data Scientist in the Analytics (Product) team at Airwallex, you will play a crucial role in driving product strategy and decision-making through data-driven insights. You will work with large and complex datasets to identify opportunities to improve our products, enhance user experiences, and drive business growth. You will collaborate with product managers, engineers, and other stakeholders to define key metrics, design and analyze experiments, and communicate findings to influence product roadmaps. This role is based in Singapore.

A Day in the Life

A typical day for a Senior Data Scientist in this role might involve:

  • Collaborating with product managers to define key performance indicators (KPIs) for new product features.
  • Designing and analyzing A/B tests to optimize user experiences and improve product performance.
  • Building and maintaining dashboards to track key metrics and identify trends.
  • Conducting exploratory data analysis to uncover insights and opportunities for product improvement.
  • Presenting findings and recommendations to stakeholders at all levels of the organization.
  • Working with data engineers to ensure data quality and availability.
  • Staying up-to-date with the latest trends and technologies in data science and analytics.

Why Singapore?

Singapore is a vibrant and dynamic hub for technology and innovation in Southeast Asia. It offers a thriving fintech ecosystem, a highly skilled workforce, and a supportive regulatory environment. Airwallex's presence in Singapore allows you to be at the forefront of the fintech revolution, working alongside some of the brightest minds in the industry. Singapore also boasts a high quality of life, with excellent infrastructure, diverse culture, and a wide range of recreational activities.

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 by taking on more complex projects, leading cross-functional teams, and mentoring junior data scientists. You can also specialize in a particular area of data science, such as machine learning or experimentation. Airwallex offers a variety of training and development programs to help you achieve your career goals.

Salary & Benefits

The estimated salary range for a Senior Data Scientist in Singapore is between $120,000 and $200,000 USD per year, commensurate with experience and qualifications. In addition to a competitive salary, Airwallex offers a comprehensive benefits package, including:

  • Health insurance
  • Paid time off
  • Professional development opportunities
  • Flexible work arrangements
  • Employee assistance program

Airwallex Culture

Airwallex is a fast-paced, innovative company with a strong focus on collaboration and teamwork. We value our employees and provide them with opportunities to learn, grow, and make a real impact on the business. We are committed to creating a diverse and inclusive work environment where everyone feels valued and respected.

How to Apply

If you are interested in applying for the Senior Data Scientist, Analytics (Product) role at Airwallex, please submit your resume and cover letter through our online application portal. We encourage you to highlight your relevant skills and experience, as well as your passion for data science and fintech.

FAQ

  1. What are the key responsibilities of a Senior Data Scientist at Airwallex? The Senior Data Scientist is responsible for defining, understanding, and testing opportunities to improve the product, working with large datasets, applying quantitative analysis, and partnering with cross-functional teams.
  2. What qualifications are required for this role? The minimum qualifications include a degree in a quantitative field and at least 5 years of industry experience.
  3. What skills are valuable for this position? Strong skills in SQL, data mining, statistical modeling, and communication are highly valued.
  4. What is the typical career path for a Data Scientist at Airwallex? Data Scientists can advance by taking on more complex projects, leading teams, or specializing in areas like machine learning.
  5. What kind of culture does Airwallex promote? Airwallex fosters a collaborative, innovative, and inclusive work environment.
  6. What benefits does Airwallex offer to its employees? Airwallex offers competitive salaries, health insurance, paid time off, and professional development opportunities.
  7. What is it like working in Singapore? Singapore provides a dynamic fintech ecosystem, a skilled workforce, and a high quality of life.
  8. How does Airwallex support employee growth? Airwallex offers training programs and opportunities to learn and grow within the company.
  9. What types of projects will I work on as a Senior Data Scientist? You will work on projects related to product strategy, experimentation, and improving user experiences.
  10. How does the Data Science team collaborate with other teams? The Data Science team collaborates with Product, Engineering, Marketing, Sales, and Finance teams.

Locations

  • 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 Analysisintermediate
  • Statistical Modelingintermediate
  • SQLintermediate
  • Data Miningintermediate
  • Experimentationintermediate
  • Product Strategyintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Cross-functional Collaborationintermediate
  • Product Analyticsintermediate
  • Data Engineeringintermediate
  • Business Intelligenceintermediate
  • Fintechintermediate
  • Machine Learningintermediate
  • Pythonintermediate

Required Qualifications

  • Minimum 5 years of industry experience in a data science or analytics role (experience)
  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or related field (experience)
  • Strong proficiency in SQL and experience with large datasets (experience)
  • Experience with statistical modeling techniques and machine learning algorithms (experience)
  • Proven ability to communicate complex analytical findings to technical and non-technical audiences (experience)
  • Experience working with product and engineering teams to drive product strategy and investment decisions (experience)
  • Strong understanding of product development lifecycle (experience)
  • Experience with data visualization tools such as Tableau or similar (experience)
  • Experience with A/B testing and experimentation methodologies (experience)
  • Ability to independently drive projects from conception to completion (experience)
  • Experience in the fintech industry is a plus (experience)
  • Excellent problem-solving skills and analytical abilities (experience)
  • Ability to thrive in a fast-paced, dynamic environment (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP) (experience)
  • Experience with programming languages such as Python or R (experience)

Responsibilities

  • Define, understand, and test opportunities and levers to improve the product using data-driven insights
  • Drive product roadmaps based on analytical findings and recommendations
  • Work with large and complex datasets to solve a wide array of business problems
  • Apply technical expertise with quantitative analysis, experimentation, and data mining techniques
  • Develop strategies for products through the presentation of data and insights
  • Identify and measure the success of product efforts through goal setting, forecasting, and monitoring key product metrics
  • Understand trends in product usage and performance
  • Partner with Product, Engineering, and cross-functional teams to inform and influence product strategy
  • Support the execution of product strategy and investment decisions
  • Design and analyze A/B tests to optimize product features and user experiences
  • Develop and maintain dashboards and reports to track key product metrics
  • Communicate insights and recommendations to stakeholders at all levels of the organization
  • Collaborate with data engineers to ensure data quality and availability
  • Contribute to the development of data science best practices and standards
  • Stay up-to-date with the latest trends and technologies in data science and analytics

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off policy
  • general: Professional development opportunities
  • general: Opportunity to work on challenging and impactful problems
  • general: Collaborative and supportive work environment
  • general: Access to cutting-edge technologies and tools
  • general: Flexible work arrangements
  • general: Employee assistance program
  • general: Wellness programs
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Retirement savings plan
  • general: Paid parental leave
  • general: Learning and development budget

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

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Analytics (Product) 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, Analytics (Product) 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 ScienceAnalyticsProductSingaporeFintechSenior Data ScientistProduct AnalyticsAirwallexSQLData MiningStatistical ModelingExperimentationProduct StrategyData VisualizationCommunicationCross-functional CollaborationData EngineeringBusiness IntelligenceMachine LearningPythonRA/B TestingKPIsProduct DevelopmentData AnalysisCareerJobHiringFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, Analytics (Product) 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.