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Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!

Airwallex

Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!

full-timePosted: Oct 20, 2025

Job Description

Staff Data Scientist, Algorithm - Growth at Airwallex

Role Overview

As a Staff Data Scientist in the Growth team at Airwallex, you will be at the forefront of leveraging data and AI to drive significant business growth. You will work closely with marketing, product, and engineering teams to design, develop, and deploy advanced data science solutions that optimize customer acquisition, engagement, and retention. Your expertise in machine learning, statistical modeling, and causal inference will be instrumental in shaping Airwallex's growth strategy and ensuring its continued success in the global financial landscape.

A Day in the Life

Your day-to-day activities will be a dynamic mix of:

  • Model Development and Deployment: Building and deploying machine learning models to predict customer behavior, personalize user experiences, and optimize marketing campaigns.
  • Data Analysis and Experimentation: Analyzing large datasets to identify trends and patterns, designing A/B tests to evaluate the effectiveness of different strategies, and communicating findings to stakeholders.
  • Strategic Collaboration: Partnering with marketing, product, and engineering teams to inform GTM strategy, influence investment decisions, and support the execution of growth initiatives.
  • Technical Mentorship: Providing technical guidance and mentorship to junior data scientists, fostering a culture of learning and growth within the team.
  • Innovation and Research: Staying up-to-date on the latest advances in data science and machine learning, and exploring new techniques and technologies to improve Airwallex's data capabilities.

Why San Francisco?

San Francisco is a global hub for technology and innovation, making it the ideal location for a Staff Data Scientist at Airwallex. The city boasts a vibrant ecosystem of startups, established tech companies, and research institutions, providing unparalleled opportunities for collaboration, networking, and professional growth. Airwallex's presence in San Francisco allows you to tap into this dynamic environment and work alongside some of the brightest minds in the industry.

Career Path

At Airwallex, we are committed to fostering the growth and development of our employees. As a Staff Data Scientist, you will have opportunities to advance your career through:

  • Technical Leadership: Taking on increasingly complex technical challenges and leading the development of innovative data science solutions.
  • Management Opportunities: Leading and managing a team of data scientists, shaping the team's strategy and priorities.
  • Cross-Functional Collaboration: Expanding your influence across the organization by collaborating with different teams and contributing to strategic initiatives.
  • Continuous Learning: Participating in professional development programs, attending conferences, and pursuing advanced certifications to enhance your skills and knowledge.

Salary & Benefits

Airwallex offers a competitive salary and benefits package that includes:

  • Competitive Salary: The estimated salary range for this role is $180,000 - $280,000 per year.
  • Equity: You will be eligible to receive equity in Airwallex, allowing you to share in the company's success.
  • Comprehensive Health Insurance: We offer comprehensive health, dental, and vision insurance plans to keep you and your family healthy.
  • Generous Paid Time Off: We provide a generous paid time off policy to allow you to recharge and spend time with loved ones.
  • Paid Parental Leave: We offer paid parental leave to support you and your family during this important time.
  • Professional Development: We provide opportunities for professional development, including training courses, conferences, and certifications.
  • Employee Assistance Program: We offer an employee assistance program to provide confidential support and resources for personal and professional challenges.
  • Wellness Programs: We offer wellness programs to help you stay healthy and manage stress.
  • Commuter Benefits: We offer commuter benefits to help you save money on transportation.
  • Free Lunch and Snacks: We provide free lunch and snacks to keep you fueled throughout the day.
  • Company-Sponsored Social Events: We host company-sponsored social events to foster camaraderie and build relationships.

Airwallex Culture

At Airwallex, we are guided by our operating principles, which emphasize:

  • Impact: We focus on delivering meaningful results that drive the company forward.
  • Ownership: We take ownership of our work and are accountable for our results.
  • Curiosity: We are curious and always seeking to learn and improve.
  • Speed: We move quickly and efficiently to get things done.
  • Collaboration: We work together as a team to achieve our goals.

We value individuals who are passionate about solving complex problems, are driven to make a difference, and thrive in a fast-paced environment. If you are looking for a challenging and rewarding career, Airwallex is the place for you.

How to Apply

To apply for the Staff Data Scientist, Algorithm - Growth position at Airwallex, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and skills, and explain why you are a good fit for this role.

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 for business accounts, payments, spend management, and treasury.

  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—from predictive modeling and personalization to LLM-powered systems, incentive optimization, and causal inference—to unlock step-change growth across the customer lifecycle.

  3. What skills are required for this role?

    The ideal candidate will have a strong background in machine learning, statistical modeling, and causal inference. Proficiency in Python or R and SQL is also essential. Excellent communication and presentation skills are also required.

  4. What is the interview process like?

    The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager. You may also be asked to complete a coding challenge or present a case study.

  5. What are the opportunities for growth at Airwallex?

    Airwallex is a fast-growing company with ample opportunities for career advancement. You can advance your career through technical leadership, management opportunities, cross-functional collaboration, and continuous learning.

  6. What is the work environment like at Airwallex?

    Airwallex offers a collaborative and supportive work environment where employees are encouraged to learn and grow. We value individuals who are passionate about solving complex problems and are driven to make a difference.

  7. What are the benefits of working at Airwallex?

    Airwallex offers a competitive salary and benefits package that includes comprehensive health insurance, generous paid time off, paid parental leave, professional development opportunities, and more.

  8. How does Airwallex use AI?

    Airwallex is integrating AI to work smarter and solve problems faster across various domains, including fraud detection, customer service, and risk management. We believe that AI is a key enabler of our continued success.

  9. What kind of impact can I have in this role?

    As a Staff Data Scientist, you will have a direct impact on Airwallex's growth strategy and its ability to acquire, engage, and retain customers. Your work will directly shape the future of global banking.

  10. How does Airwallex foster innovation?

    Airwallex fosters innovation by encouraging employees to be curious, take ownership, and collaborate. We provide a supportive environment where employees can experiment with new ideas and technologies.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 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
  • Data Scienceintermediate
  • Predictive Modelingintermediate
  • Personalizationintermediate
  • LLM-powered Systemsintermediate
  • Incentive Optimizationintermediate
  • Causal Inferenceintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Statistical Analysisintermediate
  • A/B Testingintermediate
  • Experimentationintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Stakeholder Managementintermediate
  • Mentorshipintermediate
  • Strategic Thinkingintermediate
  • Growth Strategyintermediate
  • GTM Strategyintermediate
  • Data Insightsintermediate
  • Model Deploymentintermediate
  • Feature Engineeringintermediate
  • Data Miningintermediate
  • Algorithm Developmentintermediate

Required Qualifications

  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area. (experience)
  • 5+ years of experience in a data science role, with a focus on growth or marketing applications. (experience)
  • Proven track record of building and deploying machine learning models to drive measurable business impact. (experience)
  • Strong understanding of statistical modeling techniques, including regression, classification, and clustering. (experience)
  • Experience with causal inference methods and A/B testing. (experience)
  • Proficiency in Python or R and SQL. (experience)
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure). (experience)
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. (experience)
  • Ability to work independently and as part of a team in a fast-paced environment. (experience)
  • Experience mentoring junior data scientists. (experience)
  • Strong problem-solving skills and a passion for using data to solve business problems. (experience)

Responsibilities

  • Provide technical mentorship to junior data scientists, fostering a culture of learning and growth within the team.
  • Assume hands-on leadership in resolving complex technical challenges, ensuring the team delivers high-quality solutions.
  • Set the vision for the team's long-term direction, anticipating future needs and identifying opportunities for innovation.
  • Serve as a strategic thought leader, partnering with Marketing, Growth Product, and Engineering teams to inform GTM strategy.
  • Influence investment decisions by providing data-driven insights and recommendations.
  • Support the execution of GTM strategies by developing and deploying data science solutions.
  • Design, develop, and deploy machine learning models to optimize customer acquisition, engagement, and retention.
  • Conduct A/B tests and other experiments to evaluate the effectiveness of different marketing and growth strategies.
  • Analyze large datasets to identify trends and patterns that can inform business decisions.
  • Communicate findings and recommendations to stakeholders across the organization.
  • Stay up-to-date on the latest advances in data science and machine learning.
  • Collaborate with other data scientists and engineers to build and maintain a robust data infrastructure.
  • Develop and maintain documentation for data science projects and models.
  • Ensure that data science solutions are scalable, reliable, and secure.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off policy.
  • general: Paid parental leave.
  • general: Professional development opportunities.
  • general: Employee assistance program.
  • general: Wellness programs.
  • general: Commuter benefits.
  • general: Free lunch and snacks.
  • general: Company-sponsored social events.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Access to cutting-edge technology.
  • general: Opportunity to learn and grow with a fast-growing company.
  • general: Global travel opportunities.

Target Your Resume for "Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!" , Airwallex

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Tags & Categories

Data ScienceMachine LearningAlgorithmGrowthSan FranciscoFull-timeStaff Data ScientistAlgorithm DevelopmentGrowth Data ScienceAirwallex CareersData Science JobsAIPredictive ModelingPersonalizationLLMCausal InferencePythonRSQLData AnalysisGTM StrategyMarketing OptimizationCustomer AcquisitionCustomer RetentionFinancial TechnologyFintechGlobal PaymentsData MiningStatistical AnalysisFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.

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Airwallex logo

Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!

Airwallex

Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!

full-timePosted: Oct 20, 2025

Job Description

Staff Data Scientist, Algorithm - Growth at Airwallex

Role Overview

As a Staff Data Scientist in the Growth team at Airwallex, you will be at the forefront of leveraging data and AI to drive significant business growth. You will work closely with marketing, product, and engineering teams to design, develop, and deploy advanced data science solutions that optimize customer acquisition, engagement, and retention. Your expertise in machine learning, statistical modeling, and causal inference will be instrumental in shaping Airwallex's growth strategy and ensuring its continued success in the global financial landscape.

A Day in the Life

Your day-to-day activities will be a dynamic mix of:

  • Model Development and Deployment: Building and deploying machine learning models to predict customer behavior, personalize user experiences, and optimize marketing campaigns.
  • Data Analysis and Experimentation: Analyzing large datasets to identify trends and patterns, designing A/B tests to evaluate the effectiveness of different strategies, and communicating findings to stakeholders.
  • Strategic Collaboration: Partnering with marketing, product, and engineering teams to inform GTM strategy, influence investment decisions, and support the execution of growth initiatives.
  • Technical Mentorship: Providing technical guidance and mentorship to junior data scientists, fostering a culture of learning and growth within the team.
  • Innovation and Research: Staying up-to-date on the latest advances in data science and machine learning, and exploring new techniques and technologies to improve Airwallex's data capabilities.

Why San Francisco?

San Francisco is a global hub for technology and innovation, making it the ideal location for a Staff Data Scientist at Airwallex. The city boasts a vibrant ecosystem of startups, established tech companies, and research institutions, providing unparalleled opportunities for collaboration, networking, and professional growth. Airwallex's presence in San Francisco allows you to tap into this dynamic environment and work alongside some of the brightest minds in the industry.

Career Path

At Airwallex, we are committed to fostering the growth and development of our employees. As a Staff Data Scientist, you will have opportunities to advance your career through:

  • Technical Leadership: Taking on increasingly complex technical challenges and leading the development of innovative data science solutions.
  • Management Opportunities: Leading and managing a team of data scientists, shaping the team's strategy and priorities.
  • Cross-Functional Collaboration: Expanding your influence across the organization by collaborating with different teams and contributing to strategic initiatives.
  • Continuous Learning: Participating in professional development programs, attending conferences, and pursuing advanced certifications to enhance your skills and knowledge.

Salary & Benefits

Airwallex offers a competitive salary and benefits package that includes:

  • Competitive Salary: The estimated salary range for this role is $180,000 - $280,000 per year.
  • Equity: You will be eligible to receive equity in Airwallex, allowing you to share in the company's success.
  • Comprehensive Health Insurance: We offer comprehensive health, dental, and vision insurance plans to keep you and your family healthy.
  • Generous Paid Time Off: We provide a generous paid time off policy to allow you to recharge and spend time with loved ones.
  • Paid Parental Leave: We offer paid parental leave to support you and your family during this important time.
  • Professional Development: We provide opportunities for professional development, including training courses, conferences, and certifications.
  • Employee Assistance Program: We offer an employee assistance program to provide confidential support and resources for personal and professional challenges.
  • Wellness Programs: We offer wellness programs to help you stay healthy and manage stress.
  • Commuter Benefits: We offer commuter benefits to help you save money on transportation.
  • Free Lunch and Snacks: We provide free lunch and snacks to keep you fueled throughout the day.
  • Company-Sponsored Social Events: We host company-sponsored social events to foster camaraderie and build relationships.

Airwallex Culture

At Airwallex, we are guided by our operating principles, which emphasize:

  • Impact: We focus on delivering meaningful results that drive the company forward.
  • Ownership: We take ownership of our work and are accountable for our results.
  • Curiosity: We are curious and always seeking to learn and improve.
  • Speed: We move quickly and efficiently to get things done.
  • Collaboration: We work together as a team to achieve our goals.

We value individuals who are passionate about solving complex problems, are driven to make a difference, and thrive in a fast-paced environment. If you are looking for a challenging and rewarding career, Airwallex is the place for you.

How to Apply

To apply for the Staff Data Scientist, Algorithm - Growth position at Airwallex, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and skills, and explain why you are a good fit for this role.

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 for business accounts, payments, spend management, and treasury.

  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—from predictive modeling and personalization to LLM-powered systems, incentive optimization, and causal inference—to unlock step-change growth across the customer lifecycle.

  3. What skills are required for this role?

    The ideal candidate will have a strong background in machine learning, statistical modeling, and causal inference. Proficiency in Python or R and SQL is also essential. Excellent communication and presentation skills are also required.

  4. What is the interview process like?

    The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager. You may also be asked to complete a coding challenge or present a case study.

  5. What are the opportunities for growth at Airwallex?

    Airwallex is a fast-growing company with ample opportunities for career advancement. You can advance your career through technical leadership, management opportunities, cross-functional collaboration, and continuous learning.

  6. What is the work environment like at Airwallex?

    Airwallex offers a collaborative and supportive work environment where employees are encouraged to learn and grow. We value individuals who are passionate about solving complex problems and are driven to make a difference.

  7. What are the benefits of working at Airwallex?

    Airwallex offers a competitive salary and benefits package that includes comprehensive health insurance, generous paid time off, paid parental leave, professional development opportunities, and more.

  8. How does Airwallex use AI?

    Airwallex is integrating AI to work smarter and solve problems faster across various domains, including fraud detection, customer service, and risk management. We believe that AI is a key enabler of our continued success.

  9. What kind of impact can I have in this role?

    As a Staff Data Scientist, you will have a direct impact on Airwallex's growth strategy and its ability to acquire, engage, and retain customers. Your work will directly shape the future of global banking.

  10. How does Airwallex foster innovation?

    Airwallex fosters innovation by encouraging employees to be curious, take ownership, and collaborate. We provide a supportive environment where employees can experiment with new ideas and technologies.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 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
  • Data Scienceintermediate
  • Predictive Modelingintermediate
  • Personalizationintermediate
  • LLM-powered Systemsintermediate
  • Incentive Optimizationintermediate
  • Causal Inferenceintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Statistical Analysisintermediate
  • A/B Testingintermediate
  • Experimentationintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Stakeholder Managementintermediate
  • Mentorshipintermediate
  • Strategic Thinkingintermediate
  • Growth Strategyintermediate
  • GTM Strategyintermediate
  • Data Insightsintermediate
  • Model Deploymentintermediate
  • Feature Engineeringintermediate
  • Data Miningintermediate
  • Algorithm Developmentintermediate

Required Qualifications

  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area. (experience)
  • 5+ years of experience in a data science role, with a focus on growth or marketing applications. (experience)
  • Proven track record of building and deploying machine learning models to drive measurable business impact. (experience)
  • Strong understanding of statistical modeling techniques, including regression, classification, and clustering. (experience)
  • Experience with causal inference methods and A/B testing. (experience)
  • Proficiency in Python or R and SQL. (experience)
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure). (experience)
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. (experience)
  • Ability to work independently and as part of a team in a fast-paced environment. (experience)
  • Experience mentoring junior data scientists. (experience)
  • Strong problem-solving skills and a passion for using data to solve business problems. (experience)

Responsibilities

  • Provide technical mentorship to junior data scientists, fostering a culture of learning and growth within the team.
  • Assume hands-on leadership in resolving complex technical challenges, ensuring the team delivers high-quality solutions.
  • Set the vision for the team's long-term direction, anticipating future needs and identifying opportunities for innovation.
  • Serve as a strategic thought leader, partnering with Marketing, Growth Product, and Engineering teams to inform GTM strategy.
  • Influence investment decisions by providing data-driven insights and recommendations.
  • Support the execution of GTM strategies by developing and deploying data science solutions.
  • Design, develop, and deploy machine learning models to optimize customer acquisition, engagement, and retention.
  • Conduct A/B tests and other experiments to evaluate the effectiveness of different marketing and growth strategies.
  • Analyze large datasets to identify trends and patterns that can inform business decisions.
  • Communicate findings and recommendations to stakeholders across the organization.
  • Stay up-to-date on the latest advances in data science and machine learning.
  • Collaborate with other data scientists and engineers to build and maintain a robust data infrastructure.
  • Develop and maintain documentation for data science projects and models.
  • Ensure that data science solutions are scalable, reliable, and secure.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off policy.
  • general: Paid parental leave.
  • general: Professional development opportunities.
  • general: Employee assistance program.
  • general: Wellness programs.
  • general: Commuter benefits.
  • general: Free lunch and snacks.
  • general: Company-sponsored social events.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Access to cutting-edge technology.
  • general: Opportunity to learn and grow with a fast-growing company.
  • general: Global travel opportunities.

Target Your Resume for "Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!" , Airwallex

Get personalized recommendations to optimize your resume specifically for Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!. Takes only 15 seconds!

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

Check Your ATS Score for "Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | 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 LearningAlgorithmGrowthSan FranciscoFull-timeStaff Data ScientistAlgorithm DevelopmentGrowth Data ScienceAirwallex CareersData Science JobsAIPredictive ModelingPersonalizationLLMCausal InferencePythonRSQLData AnalysisGTM StrategyMarketing OptimizationCustomer AcquisitionCustomer RetentionFinancial TechnologyFintechGlobal PaymentsData MiningStatistical AnalysisFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Staff Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.