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Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | Apply Now!

Airwallex

Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | Apply Now!

full-timePosted: Dec 4, 2025

Job Description

Senior Data Scientist, Algorithm at Airwallex - Sydney

Role Overview

As a Senior Data Scientist, Algorithm at Airwallex, you will be at the forefront of leveraging data and machine learning to drive impactful growth strategies. You'll partner closely with the Growth and Marketing teams, designing, deploying, and iterating on high-impact data science solutions that directly influence how Airwallex acquires, engages, and retains customers on a global scale. Your expertise will be pivotal in developing predictive models, implementing personalization strategies, and measuring the causal impact of marketing initiatives. This role offers the unique opportunity to shape Airwallex's growth trajectory and work on complex, high-visibility problems alongside exceptional teammates. If you're a naturally curious, business-oriented data scientist with a proven track record of translating data insights into actionable recommendations, this is an ideal role to make a significant impact.

A Day in the Life

Your day as a Senior Data Scientist, Algorithm at Airwallex might include: * **Developing and Implementing Predictive Models:** Building machine learning models to identify high-value users and predict customer behavior. * **Measuring Marketing Impact:** Applying statistical models to measure the causal impact of marketing campaigns and initiatives. * **Personalization Strategy:** Creating and optimizing personalization solutions to improve client onboarding, referral programs, and product cross-selling. * **Collaboration with Growth and Marketing:** Working closely with growth and marketing teams to align data science efforts with business objectives. * **Data Analysis and Interpretation:** Analyzing large datasets to identify trends, patterns, and opportunities for growth. * **Communication and Presentation:** Presenting findings and recommendations to both technical and non-technical audiences. * **Model Deployment and Monitoring:** Deploying and monitoring machine learning models in a production environment. * **Research and Development:** Staying up-to-date with the latest advancements in data science and machine learning and applying them to Airwallex's challenges.

Why Sydney?

Sydney offers a vibrant and dynamic environment for both professional and personal growth. As a major global financial hub, Sydney boasts a thriving tech scene, attracting top talent from around the world. Living and working in Sydney provides access to a high quality of life, with beautiful beaches, stunning natural landscapes, and a diverse cultural scene. Airwallex's Sydney office is located in the heart of the city, providing easy access to transportation, restaurants, and entertainment. The Sydney team is a collaborative and supportive group of professionals who are passionate about building the future of global finance.

Career Path

Airwallex is committed to providing its employees with opportunities for career growth and advancement. As a Senior Data Scientist, Algorithm, you can advance your career in several directions: * **Principal Data Scientist:** Leading a team of data scientists and driving the development of advanced data science solutions. * **Data Science Manager:** Managing a team of data scientists and overseeing the execution of data science projects. * **Director of Data Science:** Leading a data science department and shaping the overall data science strategy for Airwallex. * **Technical Lead:** Becoming a technical expert in a specific area of data science and providing guidance to other data scientists. Airwallex also offers opportunities for cross-functional career moves, allowing you to explore different areas of the company and broaden your skillset.

Salary & Benefits

The estimated salary range for a Senior Data Scientist, Algorithm in Sydney is $150,000 - $220,000 USD per year. Airwallex offers a comprehensive benefits package that includes: * Competitive salary and equity package * Comprehensive health insurance (medical, dental, vision) * Generous paid time off policy * Professional development opportunities * Employee assistance program * Wellness programs * Flexible work arrangements * Company-sponsored events and activities * Commuter benefits * Snacks and drinks provided in the office

Airwallex Culture

Airwallex fosters a culture of innovation, collaboration, and ownership. The company values its employees and provides a supportive and inclusive environment where everyone can thrive. Airwallex encourages its employees to be ambitious, take risks, and challenge the status quo. Airwallex's operating principles include: * **Customer Obsession:** Putting the customer at the center of everything we do. * **Bias for Action:** Moving quickly and decisively. * **Ownership:** Taking responsibility for our actions and outcomes. * **Innovation:** Continuously seeking new and better ways to do things. * **Collaboration:** Working together to achieve common goals.

How to Apply

If you are interested in applying for the Senior Data Scientist, Algorithm position at Airwallex, please submit your resume and cover letter through the Airwallex careers website. Be sure to highlight your relevant experience and skills, and explain why you are a good fit for the role.

FAQ

**1. What is Airwallex?** Airwallex is a global payments and financial platform that empowers businesses to operate globally without borders. **2. What does the Growth Data Science team do?** The Growth Data Science team turns data and AI into a durable competitive advantage, building solutions to unlock step-change growth across the customer lifecycle. **3. What are the key responsibilities of a Senior Data Scientist, Algorithm at Airwallex?** The key responsibilities include developing predictive models, measuring marketing impact, and creating personalization strategies. **4. What skills and qualifications are required for this role?** Required skills include machine learning, data science, Python or R, and strong communication skills. Qualifications include a degree in a quantitative field and 5+ years of experience. **5. What is the career path for this role?** The career path includes opportunities to advance to Principal Data Scientist, Data Science Manager, or Director of Data Science. **6. What is the salary range for this role?** The estimated salary range is $150,000 - $220,000 USD per year. **7. What benefits does Airwallex offer?** Airwallex offers a comprehensive benefits package, including health insurance, paid time off, and professional development opportunities. **8. What is the culture like at Airwallex?** Airwallex fosters a culture of innovation, collaboration, and ownership. **9. Where is the Sydney office located?** The Sydney office is located in the heart of the city, providing easy access to transportation, restaurants, and entertainment. **10. How do I apply for this role?** Please submit your resume and cover letter through the Airwallex careers website.

Locations

  • Sydney, New South Wales, Australia

Salary

Estimated Salary Rangemedium confidence

165,000 - 242,000 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
  • Statistical Modelingintermediate
  • Causal Inferenceintermediate
  • Personalizationintermediate
  • Marketing Analyticsintermediate
  • Data Analysisintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • A/B Testingintermediate
  • Customer Lifecycle Analysisintermediate
  • Growth Hackingintermediate
  • Communication Skillsintermediate
  • Problem-Solvingintermediate
  • Business Acumenintermediate
  • Data Visualizationintermediate
  • Model Deploymentintermediate
  • 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 a data science role, preferably in a growth or marketing environment (experience)
  • Strong proficiency in machine learning algorithms and statistical modeling techniques (experience)
  • Experience with causal inference methods (experience)
  • Proficiency in Python or R for data analysis and modeling (experience)
  • Experience with SQL and relational databases (experience)
  • Experience building and deploying machine learning models in a production environment (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to translate complex data insights into actionable recommendations (experience)
  • Strong business acumen and understanding of marketing principles (experience)
  • Experience with A/B testing and experimentation (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure) (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.
  • Apply machine learning models to influence how we acquire, engage, and retain customers globally.
  • Translate data insights into actionable recommendations that strengthen brand presence and accelerate growth.
  • 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.
  • Shape Airwallex’s growth strategy by influencing how we acquire, engage, and retain customers.
  • Work on complex, high‑visibility problems with exceptional teammates.
  • Contribute to the development of global consistency in process, tooling, and methodology.
  • Ensure local flexibility and speed in execution of data science initiatives.
  • Collaborate with cross-functional teams to define project scope and objectives.
  • Communicate technical findings and recommendations to both technical and non-technical audiences.
  • Stay up-to-date with the latest advancements in data science and machine learning.

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Generous paid time off policy
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Flexible work arrangements
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Snacks and drinks provided in the office
  • general: Opportunity to work on cutting-edge technology
  • general: Collaborative and supportive work environment
  • general: Global mobility opportunities
  • general: Relocation assistance (if applicable)
  • general: Career growth and advancement opportunities
  • general: Mentorship programs

Target Your Resume for "Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | Apply Now!" , Airwallex

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Data ScienceMachine LearningAlgorithmSydneyAustraliaFinTechGrowthSenior Data ScientistAirwallexPredictive ModelingStatistical ModelingCausal InferencePersonalizationMarketing AnalyticsData AnalysisPythonRSQLA/B TestingCustomer Lifecycle AnalysisGrowth HackingFinancial TechnologyGlobal PaymentsData-DrivenCareerJobHiringFinTechPaymentsEngineeringProduct

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Airwallex logo

Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | Apply Now!

Airwallex

Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | Apply Now!

full-timePosted: Dec 4, 2025

Job Description

Senior Data Scientist, Algorithm at Airwallex - Sydney

Role Overview

As a Senior Data Scientist, Algorithm at Airwallex, you will be at the forefront of leveraging data and machine learning to drive impactful growth strategies. You'll partner closely with the Growth and Marketing teams, designing, deploying, and iterating on high-impact data science solutions that directly influence how Airwallex acquires, engages, and retains customers on a global scale. Your expertise will be pivotal in developing predictive models, implementing personalization strategies, and measuring the causal impact of marketing initiatives. This role offers the unique opportunity to shape Airwallex's growth trajectory and work on complex, high-visibility problems alongside exceptional teammates. If you're a naturally curious, business-oriented data scientist with a proven track record of translating data insights into actionable recommendations, this is an ideal role to make a significant impact.

A Day in the Life

Your day as a Senior Data Scientist, Algorithm at Airwallex might include: * **Developing and Implementing Predictive Models:** Building machine learning models to identify high-value users and predict customer behavior. * **Measuring Marketing Impact:** Applying statistical models to measure the causal impact of marketing campaigns and initiatives. * **Personalization Strategy:** Creating and optimizing personalization solutions to improve client onboarding, referral programs, and product cross-selling. * **Collaboration with Growth and Marketing:** Working closely with growth and marketing teams to align data science efforts with business objectives. * **Data Analysis and Interpretation:** Analyzing large datasets to identify trends, patterns, and opportunities for growth. * **Communication and Presentation:** Presenting findings and recommendations to both technical and non-technical audiences. * **Model Deployment and Monitoring:** Deploying and monitoring machine learning models in a production environment. * **Research and Development:** Staying up-to-date with the latest advancements in data science and machine learning and applying them to Airwallex's challenges.

Why Sydney?

Sydney offers a vibrant and dynamic environment for both professional and personal growth. As a major global financial hub, Sydney boasts a thriving tech scene, attracting top talent from around the world. Living and working in Sydney provides access to a high quality of life, with beautiful beaches, stunning natural landscapes, and a diverse cultural scene. Airwallex's Sydney office is located in the heart of the city, providing easy access to transportation, restaurants, and entertainment. The Sydney team is a collaborative and supportive group of professionals who are passionate about building the future of global finance.

Career Path

Airwallex is committed to providing its employees with opportunities for career growth and advancement. As a Senior Data Scientist, Algorithm, you can advance your career in several directions: * **Principal Data Scientist:** Leading a team of data scientists and driving the development of advanced data science solutions. * **Data Science Manager:** Managing a team of data scientists and overseeing the execution of data science projects. * **Director of Data Science:** Leading a data science department and shaping the overall data science strategy for Airwallex. * **Technical Lead:** Becoming a technical expert in a specific area of data science and providing guidance to other data scientists. Airwallex also offers opportunities for cross-functional career moves, allowing you to explore different areas of the company and broaden your skillset.

Salary & Benefits

The estimated salary range for a Senior Data Scientist, Algorithm in Sydney is $150,000 - $220,000 USD per year. Airwallex offers a comprehensive benefits package that includes: * Competitive salary and equity package * Comprehensive health insurance (medical, dental, vision) * Generous paid time off policy * Professional development opportunities * Employee assistance program * Wellness programs * Flexible work arrangements * Company-sponsored events and activities * Commuter benefits * Snacks and drinks provided in the office

Airwallex Culture

Airwallex fosters a culture of innovation, collaboration, and ownership. The company values its employees and provides a supportive and inclusive environment where everyone can thrive. Airwallex encourages its employees to be ambitious, take risks, and challenge the status quo. Airwallex's operating principles include: * **Customer Obsession:** Putting the customer at the center of everything we do. * **Bias for Action:** Moving quickly and decisively. * **Ownership:** Taking responsibility for our actions and outcomes. * **Innovation:** Continuously seeking new and better ways to do things. * **Collaboration:** Working together to achieve common goals.

How to Apply

If you are interested in applying for the Senior Data Scientist, Algorithm position at Airwallex, please submit your resume and cover letter through the Airwallex careers website. Be sure to highlight your relevant experience and skills, and explain why you are a good fit for the role.

FAQ

**1. What is Airwallex?** Airwallex is a global payments and financial platform that empowers businesses to operate globally without borders. **2. What does the Growth Data Science team do?** The Growth Data Science team turns data and AI into a durable competitive advantage, building solutions to unlock step-change growth across the customer lifecycle. **3. What are the key responsibilities of a Senior Data Scientist, Algorithm at Airwallex?** The key responsibilities include developing predictive models, measuring marketing impact, and creating personalization strategies. **4. What skills and qualifications are required for this role?** Required skills include machine learning, data science, Python or R, and strong communication skills. Qualifications include a degree in a quantitative field and 5+ years of experience. **5. What is the career path for this role?** The career path includes opportunities to advance to Principal Data Scientist, Data Science Manager, or Director of Data Science. **6. What is the salary range for this role?** The estimated salary range is $150,000 - $220,000 USD per year. **7. What benefits does Airwallex offer?** Airwallex offers a comprehensive benefits package, including health insurance, paid time off, and professional development opportunities. **8. What is the culture like at Airwallex?** Airwallex fosters a culture of innovation, collaboration, and ownership. **9. Where is the Sydney office located?** The Sydney office is located in the heart of the city, providing easy access to transportation, restaurants, and entertainment. **10. How do I apply for this role?** Please submit your resume and cover letter through the Airwallex careers website.

Locations

  • Sydney, New South Wales, Australia

Salary

Estimated Salary Rangemedium confidence

165,000 - 242,000 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
  • Statistical Modelingintermediate
  • Causal Inferenceintermediate
  • Personalizationintermediate
  • Marketing Analyticsintermediate
  • Data Analysisintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • A/B Testingintermediate
  • Customer Lifecycle Analysisintermediate
  • Growth Hackingintermediate
  • Communication Skillsintermediate
  • Problem-Solvingintermediate
  • Business Acumenintermediate
  • Data Visualizationintermediate
  • Model Deploymentintermediate
  • 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 a data science role, preferably in a growth or marketing environment (experience)
  • Strong proficiency in machine learning algorithms and statistical modeling techniques (experience)
  • Experience with causal inference methods (experience)
  • Proficiency in Python or R for data analysis and modeling (experience)
  • Experience with SQL and relational databases (experience)
  • Experience building and deploying machine learning models in a production environment (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to translate complex data insights into actionable recommendations (experience)
  • Strong business acumen and understanding of marketing principles (experience)
  • Experience with A/B testing and experimentation (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure) (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.
  • Apply machine learning models to influence how we acquire, engage, and retain customers globally.
  • Translate data insights into actionable recommendations that strengthen brand presence and accelerate growth.
  • 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.
  • Shape Airwallex’s growth strategy by influencing how we acquire, engage, and retain customers.
  • Work on complex, high‑visibility problems with exceptional teammates.
  • Contribute to the development of global consistency in process, tooling, and methodology.
  • Ensure local flexibility and speed in execution of data science initiatives.
  • Collaborate with cross-functional teams to define project scope and objectives.
  • Communicate technical findings and recommendations to both technical and non-technical audiences.
  • Stay up-to-date with the latest advancements in data science and machine learning.

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Generous paid time off policy
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Flexible work arrangements
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Snacks and drinks provided in the office
  • general: Opportunity to work on cutting-edge technology
  • general: Collaborative and supportive work environment
  • general: Global mobility opportunities
  • general: Relocation assistance (if applicable)
  • general: Career growth and advancement opportunities
  • general: Mentorship programs

Target Your Resume for "Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | Apply Now!" , Airwallex

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | 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 - Sydney, New South Wales | 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 LearningAlgorithmSydneyAustraliaFinTechGrowthSenior Data ScientistAirwallexPredictive ModelingStatistical ModelingCausal InferencePersonalizationMarketing AnalyticsData AnalysisPythonRSQLA/B TestingCustomer Lifecycle AnalysisGrowth HackingFinancial TechnologyGlobal PaymentsData-DrivenCareerJobHiringFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, Algorithm Careers at Airwallex - Sydney, New South Wales | Apply Now! @ Airwallex.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.