Resume and JobRESUME AND JOB
Airwallex logo

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

Airwallex

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

full-timePosted: Sep 30, 2025

Job Description

Airwallex Data Scientist, Algorithm (Growth) - San Francisco, CA

Role Overview

Airwallex is seeking a talented and experienced Data Scientist to join our Growth team in San Francisco. As a Data Scientist, Algorithm (Growth), you will play a crucial role in driving Airwallex's growth by applying machine learning and statistical modeling techniques to optimize our marketing and customer acquisition strategies. You will work closely with the Growth and Marketing teams to develop and deploy data-driven solutions that improve customer onboarding, optimize referral programs, and enhance product cross-selling efforts. This is an exciting opportunity to join a fast-growing fintech company and make a significant impact on our business.

A Day in the Life

Here's a glimpse into what your day might look like:

  • Start your day by reviewing the performance of existing predictive models and identifying areas for improvement.
  • Meet with the Marketing team to discuss upcoming campaigns and brainstorm how data science can help optimize their effectiveness.
  • Work on developing a new personalization algorithm to improve customer onboarding efficiency.
  • Conduct A/B testing to validate the impact of a new referral incentive program.
  • Analyze customer data to identify opportunities for product cross-selling.
  • Present your findings and recommendations to stakeholders.
  • Stay up-to-date on the latest advancements in machine learning and data science.

Why San Francisco?

San Francisco is a global hub for technology and innovation, making it the perfect location for Airwallex to continue its growth. The city offers a vibrant ecosystem of startups, established tech companies, and world-class universities, providing access to a diverse talent pool and a supportive community. Airwallex's San Francisco office is located in the heart of the city, surrounded by restaurants, shops, and cultural attractions. Living and working in San Francisco offers unparalleled opportunities for personal and professional growth. You'll be at the forefront of technological advancement, surrounded by driven individuals. San Francisco is more than just a location; it's a catalyst for innovation, and Airwallex is thrilled to be a part of it.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. The Data Scientist, Algorithm (Growth) role offers a clear career path with opportunities to advance into senior data science roles, team leadership positions, or specialized roles in areas such as machine learning engineering or data architecture. We also encourage our employees to explore different areas of the company and take on new challenges. With hard work, dedication, and a passion for data, you can build a successful and rewarding career at Airwallex.

Salary & Benefits

Airwallex offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for this role is estimated to be between $160,000 and $250,000 per year, depending on experience and qualifications. In addition to salary, we offer a comprehensive benefits package that includes health, dental, and vision insurance, paid time off, paid parental leave, commuter benefits, wellness programs, and professional development opportunities. We also offer equity in the company, giving our employees a stake in our success.

Airwallex Culture

At Airwallex, we are building a culture that is collaborative, innovative, and customer-centric. We value teamwork, open communication, and a willingness to learn and grow. We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We encourage our employees to take ownership of their work and to challenge the status quo. We believe that by working together, we can achieve great things.

How to Apply

If you are a talented and passionate Data Scientist with a desire to make a real impact, we encourage you to apply for the Data Scientist, Algorithm (Growth) role at Airwallex. To apply, 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.
  2. Where is Airwallex located? Founded in Melbourne, Airwallex has offices in 26 locations around the globe, including San Francisco.
  3. What is the company culture like? The company prides itself on hiring successful builders who have founder-like energy who want real impact, accelerated learning, and true ownership.
  4. 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.
  5. What kind of experience is the company looking for? Experience should include machine learning, statistical models, and translating data insights into actionable recommendations.
  6. Why is now a good time to join Airwallex? This is a critical period where Airwallex is building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution.
  7. What are some responsibilities for this role? Responsibilities include developing predictive models, applying machine learning, and developing personalization solutions.
  8. What are some skills that are helpful for this role? Data analysis, machine learning, and business acumen are all important skills.
  9. What kind of benefits does Airwallex provide? Airwallex offers comprehensive health insurance, generous paid time off, and professional development opportunities, among other benefits.
  10. How do I apply for this role? Please submit your resume and cover letter through our online application portal.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

176,000 - 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
  • Data Analysisintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • A/B Testingintermediate
  • Causal Inferenceintermediate
  • Personalizationintermediate
  • Marketing Analyticsintermediate
  • Customer Lifecycle Managementintermediate
  • Growth Hackingintermediate
  • LLMs (Large Language Models)intermediate
  • Experimentationintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Problem-solvingintermediate
  • Business Acumenintermediate
  • Data-driven decision makingintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics). (experience)
  • Master's or Ph.D. degree preferred. (experience)
  • 5+ years of experience in data science or a related field. (experience)
  • Strong understanding of machine learning algorithms and statistical modeling techniques. (experience)
  • Experience developing and deploying predictive models in a production environment. (experience)
  • Proficiency in Python or R for data analysis and modeling. (experience)
  • Experience with SQL and relational databases. (experience)
  • Experience with A/B testing and causal inference methods. (experience)
  • Strong communication and presentation skills. (experience)
  • Ability to translate data insights into actionable recommendations. (experience)
  • Experience working with marketing and commercial teams. (experience)
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP). (experience)
  • Experience with large language models (LLMs) is a plus. (experience)
  • Proven track record of driving measurable business outcomes with data science solutions. (experience)
  • Experience in the fintech industry is a plus. (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 the referral incentive impacts.
  • Improve product cross-selling strategies using data-driven insights.
  • Partner closely with Growth and Marketing teams to design and deploy data science solutions.
  • Iterate on existing models and solutions to improve performance.
  • Conduct A/B testing to validate the effectiveness of new initiatives.
  • Communicate findings and recommendations to stakeholders.
  • Stay up-to-date on the latest advancements in data science and machine learning.
  • Contribute to the development of Airwallex's data science infrastructure and best practices.
  • Work with large datasets to extract meaningful insights.
  • Collaborate with engineers to deploy models into production.
  • Mentor junior data scientists.

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: Commuter benefits.
  • general: Wellness programs.
  • general: Professional development opportunities.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to work with a global team.
  • general: Chance to shape the future of fintech.
  • general: Access to cutting-edge technology.
  • general: Company-sponsored events and activities.
  • general: Employee assistance program.
  • general: Flexible work arrangements.
  • general: Stock options.

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

Get personalized recommendations to optimize your resume specifically for 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 "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 ScienceAlgorithmGrowthMachine LearningSan FranciscoCaliforniaData ScientistStatistical ModelingPredictive ModelingData AnalysisPythonRSQLA/B TestingCausal InferencePersonalizationMarketing AnalyticsCustomer Lifecycle ManagementGrowth HackingLLMsFintechAirwallexData Science JobsMachine Learning JobsAlgorithm DevelopmentGrowth Data ScienceFinancial TechnologyFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for 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.

Airwallex logo

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

Airwallex

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

full-timePosted: Sep 30, 2025

Job Description

Airwallex Data Scientist, Algorithm (Growth) - San Francisco, CA

Role Overview

Airwallex is seeking a talented and experienced Data Scientist to join our Growth team in San Francisco. As a Data Scientist, Algorithm (Growth), you will play a crucial role in driving Airwallex's growth by applying machine learning and statistical modeling techniques to optimize our marketing and customer acquisition strategies. You will work closely with the Growth and Marketing teams to develop and deploy data-driven solutions that improve customer onboarding, optimize referral programs, and enhance product cross-selling efforts. This is an exciting opportunity to join a fast-growing fintech company and make a significant impact on our business.

A Day in the Life

Here's a glimpse into what your day might look like:

  • Start your day by reviewing the performance of existing predictive models and identifying areas for improvement.
  • Meet with the Marketing team to discuss upcoming campaigns and brainstorm how data science can help optimize their effectiveness.
  • Work on developing a new personalization algorithm to improve customer onboarding efficiency.
  • Conduct A/B testing to validate the impact of a new referral incentive program.
  • Analyze customer data to identify opportunities for product cross-selling.
  • Present your findings and recommendations to stakeholders.
  • Stay up-to-date on the latest advancements in machine learning and data science.

Why San Francisco?

San Francisco is a global hub for technology and innovation, making it the perfect location for Airwallex to continue its growth. The city offers a vibrant ecosystem of startups, established tech companies, and world-class universities, providing access to a diverse talent pool and a supportive community. Airwallex's San Francisco office is located in the heart of the city, surrounded by restaurants, shops, and cultural attractions. Living and working in San Francisco offers unparalleled opportunities for personal and professional growth. You'll be at the forefront of technological advancement, surrounded by driven individuals. San Francisco is more than just a location; it's a catalyst for innovation, and Airwallex is thrilled to be a part of it.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. The Data Scientist, Algorithm (Growth) role offers a clear career path with opportunities to advance into senior data science roles, team leadership positions, or specialized roles in areas such as machine learning engineering or data architecture. We also encourage our employees to explore different areas of the company and take on new challenges. With hard work, dedication, and a passion for data, you can build a successful and rewarding career at Airwallex.

Salary & Benefits

Airwallex offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary range for this role is estimated to be between $160,000 and $250,000 per year, depending on experience and qualifications. In addition to salary, we offer a comprehensive benefits package that includes health, dental, and vision insurance, paid time off, paid parental leave, commuter benefits, wellness programs, and professional development opportunities. We also offer equity in the company, giving our employees a stake in our success.

Airwallex Culture

At Airwallex, we are building a culture that is collaborative, innovative, and customer-centric. We value teamwork, open communication, and a willingness to learn and grow. We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We encourage our employees to take ownership of their work and to challenge the status quo. We believe that by working together, we can achieve great things.

How to Apply

If you are a talented and passionate Data Scientist with a desire to make a real impact, we encourage you to apply for the Data Scientist, Algorithm (Growth) role at Airwallex. To apply, 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.
  2. Where is Airwallex located? Founded in Melbourne, Airwallex has offices in 26 locations around the globe, including San Francisco.
  3. What is the company culture like? The company prides itself on hiring successful builders who have founder-like energy who want real impact, accelerated learning, and true ownership.
  4. 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.
  5. What kind of experience is the company looking for? Experience should include machine learning, statistical models, and translating data insights into actionable recommendations.
  6. Why is now a good time to join Airwallex? This is a critical period where Airwallex is building a team that enables both global consistency in process, tooling and methodology and local flexibility and speed in execution.
  7. What are some responsibilities for this role? Responsibilities include developing predictive models, applying machine learning, and developing personalization solutions.
  8. What are some skills that are helpful for this role? Data analysis, machine learning, and business acumen are all important skills.
  9. What kind of benefits does Airwallex provide? Airwallex offers comprehensive health insurance, generous paid time off, and professional development opportunities, among other benefits.
  10. How do I apply for this role? Please submit your resume and cover letter through our online application portal.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

176,000 - 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
  • Data Analysisintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • A/B Testingintermediate
  • Causal Inferenceintermediate
  • Personalizationintermediate
  • Marketing Analyticsintermediate
  • Customer Lifecycle Managementintermediate
  • Growth Hackingintermediate
  • LLMs (Large Language Models)intermediate
  • Experimentationintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Problem-solvingintermediate
  • Business Acumenintermediate
  • Data-driven decision makingintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics). (experience)
  • Master's or Ph.D. degree preferred. (experience)
  • 5+ years of experience in data science or a related field. (experience)
  • Strong understanding of machine learning algorithms and statistical modeling techniques. (experience)
  • Experience developing and deploying predictive models in a production environment. (experience)
  • Proficiency in Python or R for data analysis and modeling. (experience)
  • Experience with SQL and relational databases. (experience)
  • Experience with A/B testing and causal inference methods. (experience)
  • Strong communication and presentation skills. (experience)
  • Ability to translate data insights into actionable recommendations. (experience)
  • Experience working with marketing and commercial teams. (experience)
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP). (experience)
  • Experience with large language models (LLMs) is a plus. (experience)
  • Proven track record of driving measurable business outcomes with data science solutions. (experience)
  • Experience in the fintech industry is a plus. (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 the referral incentive impacts.
  • Improve product cross-selling strategies using data-driven insights.
  • Partner closely with Growth and Marketing teams to design and deploy data science solutions.
  • Iterate on existing models and solutions to improve performance.
  • Conduct A/B testing to validate the effectiveness of new initiatives.
  • Communicate findings and recommendations to stakeholders.
  • Stay up-to-date on the latest advancements in data science and machine learning.
  • Contribute to the development of Airwallex's data science infrastructure and best practices.
  • Work with large datasets to extract meaningful insights.
  • Collaborate with engineers to deploy models into production.
  • Mentor junior data scientists.

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: Commuter benefits.
  • general: Wellness programs.
  • general: Professional development opportunities.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to work with a global team.
  • general: Chance to shape the future of fintech.
  • general: Access to cutting-edge technology.
  • general: Company-sponsored events and activities.
  • general: Employee assistance program.
  • general: Flexible work arrangements.
  • general: Stock options.

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

Get personalized recommendations to optimize your resume specifically for 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 "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 ScienceAlgorithmGrowthMachine LearningSan FranciscoCaliforniaData ScientistStatistical ModelingPredictive ModelingData AnalysisPythonRSQLA/B TestingCausal InferencePersonalizationMarketing AnalyticsCustomer Lifecycle ManagementGrowth HackingLLMsFintechAirwallexData Science JobsMachine Learning JobsAlgorithm DevelopmentGrowth Data ScienceFinancial TechnologyFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for 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.