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

Airwallex

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

full-timePosted: Dec 4, 2025

Job Description

Senior Data Scientist, Algorithm - Melbourne

Role Overview

Airwallex is seeking a highly motivated and experienced Senior Data Scientist with a strong background in algorithm development to join our Growth Data Science team in Melbourne. As a Senior Data Scientist, you will play a crucial role in driving growth by leveraging data and AI to build advanced solutions across the customer lifecycle. You will partner closely with the Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that drive measurable business outcomes.

This role offers an exciting opportunity to shape Airwallex’s growth strategy by influencing how we acquire, engage, and retain customers globally. If you are a naturally curious, business-oriented data scientist with a proven track record of translating data insights into actionable recommendations, we encourage you to apply.

A Day in the Life

Here’s a glimpse of what your day might look like:

  • Collaborate with the Growth and Marketing teams to understand their needs and identify opportunities for data science solutions.
  • Develop predictive models to identify high-value users for targeted marketing campaigns.
  • Apply machine learning and statistical models to measure the causal impact of marketing initiatives.
  • Design and implement personalization solutions to improve client onboarding efficiencies, optimize referral incentive impacts, and drive product cross-selling.
  • Conduct data analysis to identify trends and patterns in customer behavior.
  • Build and maintain data pipelines to ensure data quality and availability.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay up-to-date on the latest advancements in data science and machine learning.
  • Participate in team meetings and contribute to the development of best practices.

Why Melbourne?

Melbourne is a vibrant and multicultural city known for its strong technology sector and high quality of life. It offers a thriving ecosystem for data scientists, with numerous opportunities for professional development and networking. Airwallex's Melbourne office is located in the heart of the city, providing easy access to transportation, restaurants, and cultural attractions. Relocating to Melbourne offers an incredible opportunity to live in one of the world's most livable cities, with a vibrant arts scene, world-class dining, and stunning natural landscapes just a short drive away.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have the opportunity to advance your career in several directions. You could become a Principal Data Scientist, leading a team of data scientists and driving strategic initiatives. Alternatively, you could specialize in a particular area of data science, such as machine learning or causal inference. We also offer opportunities to move into management roles, such as Data Science Manager or Director of Data Science.

Salary & Benefits

Airwallex offers a competitive salary and benefits package commensurate with experience. The estimated salary range for this position in Melbourne is $150,000 - $220,000 USD per year. In addition to salary, we offer a comprehensive benefits package that includes health insurance, paid time off, professional development opportunities, and more. We are committed to providing our employees with a supportive and rewarding work environment.

Airwallex Culture

Airwallex is a fast-paced, innovative company with a strong focus on teamwork and collaboration. We value our employees and are committed to providing them with opportunities to grow and develop their careers. We are looking for individuals who are passionate about data science and are eager to make a significant impact on our company's growth. Our culture fosters a collaborative environment where everyone's ideas are valued, and we encourage continuous learning and development.

How to Apply

To apply for this position, please submit your resume and cover letter through our online application portal. In your cover letter, please highlight your relevant experience and explain why you are a good fit for this role. We are looking for candidates who are passionate about data science and are eager to make a significant impact on our company's growth.

Frequently Asked Questions (FAQ)

  1. What is Airwallex? Airwallex is the only unified payments and financial platform for global businesses.
  2. What does the Growth Data Science team do? The Growth Data Science team uses data and AI to drive growth across the customer lifecycle.
  3. What skills are required for this role? Strong skills in machine learning, statistical modeling, data analysis, and communication are required.
  4. What is the career path for this role? You can advance to Principal Data Scientist, specialize in a specific area, or move into management roles.
  5. What is the salary range for this role? The estimated salary range is $150,000 - $220,000 USD per year.
  6. What benefits does Airwallex offer? We offer health insurance, paid time off, professional development, and more.
  7. What is the company culture like? Our culture is fast-paced, innovative, and collaborative.
  8. Where is the Melbourne office located? The Melbourne office is located in the heart of the city.
  9. What opportunities are there for professional development? We offer opportunities for training, conferences, and mentorship.
  10. Is relocation assistance provided? Relocation assistance may be available for qualified candidates.

Locations

  • Melbourne, Victoria, 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
  • Statistical Modelingintermediate
  • Predictive Modelingintermediate
  • Causal Inferenceintermediate
  • Data Analysisintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • A/B Testingintermediate
  • Experimentationintermediate
  • Personalizationintermediate
  • Customer Segmentationintermediate
  • Data Miningintermediate
  • LLMsintermediate
  • Deep Learningintermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Big Data Technologies (Spark, Hadoop)intermediate
  • Data Engineeringintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Business Acumenintermediate
  • Marketing Analyticsintermediate
  • Growth Hackingintermediate
  • Stakeholder Managementintermediate

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. (experience)
  • Proven experience in developing and deploying machine learning models. (experience)
  • Strong understanding of statistical modeling techniques. (experience)
  • Experience with causal inference methods. (experience)
  • Proficiency in Python or R. (experience)
  • Experience with SQL and data manipulation. (experience)
  • Experience with data visualization tools (e.g., Tableau, Power BI). (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure). (experience)
  • Experience with big data technologies (e.g., Spark, Hadoop). (experience)
  • Strong communication and presentation skills. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Experience working with marketing and growth teams. (experience)
  • Experience in the fintech or e-commerce industry is a plus. (experience)

Responsibilities

  • Develop predictive models to identify high-value users for Marketing and Commercial teams.
  • Apply machine learning and statistical models to measure the causal impact of marketing initiatives.
  • Develop personalization solutions to drive client onboarding efficiencies.
  • Optimize referral incentive impacts.
  • Optimize product cross-selling strategies.
  • Partner closely with Growth and Marketing teams to design, deploy, and iterate on data science solutions.
  • Translate data insights into actionable recommendations to strengthen brand presence and accelerate growth.
  • Design and implement A/B tests to validate hypotheses and improve model performance.
  • Conduct data analysis to identify opportunities for growth and optimization.
  • Build and maintain data pipelines to ensure data quality and availability.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay up-to-date on the latest advancements in data science and machine learning.
  • Contribute to the development of the data science team's best practices and methodologies.
  • Work with engineering teams to deploy models and solutions to production.
  • Mentor junior data scientists.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health insurance.
  • general: Generous paid time off.
  • general: Professional development opportunities.
  • general: Opportunity to work on cutting-edge technology.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to make a significant impact on a rapidly growing company.
  • general: Flexible work arrangements.
  • general: Employee assistance program.
  • general: Wellness programs.
  • general: Team-building activities.
  • general: Company-sponsored events.
  • general: Snacks and beverages in the office.
  • general: Commuting benefits.
  • general: Relocation assistance (if applicable).

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Airwallex logo

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

Airwallex

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

full-timePosted: Dec 4, 2025

Job Description

Senior Data Scientist, Algorithm - Melbourne

Role Overview

Airwallex is seeking a highly motivated and experienced Senior Data Scientist with a strong background in algorithm development to join our Growth Data Science team in Melbourne. As a Senior Data Scientist, you will play a crucial role in driving growth by leveraging data and AI to build advanced solutions across the customer lifecycle. You will partner closely with the Growth and Marketing teams to design, deploy, and iterate on high-impact data science solutions that drive measurable business outcomes.

This role offers an exciting opportunity to shape Airwallex’s growth strategy by influencing how we acquire, engage, and retain customers globally. If you are a naturally curious, business-oriented data scientist with a proven track record of translating data insights into actionable recommendations, we encourage you to apply.

A Day in the Life

Here’s a glimpse of what your day might look like:

  • Collaborate with the Growth and Marketing teams to understand their needs and identify opportunities for data science solutions.
  • Develop predictive models to identify high-value users for targeted marketing campaigns.
  • Apply machine learning and statistical models to measure the causal impact of marketing initiatives.
  • Design and implement personalization solutions to improve client onboarding efficiencies, optimize referral incentive impacts, and drive product cross-selling.
  • Conduct data analysis to identify trends and patterns in customer behavior.
  • Build and maintain data pipelines to ensure data quality and availability.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay up-to-date on the latest advancements in data science and machine learning.
  • Participate in team meetings and contribute to the development of best practices.

Why Melbourne?

Melbourne is a vibrant and multicultural city known for its strong technology sector and high quality of life. It offers a thriving ecosystem for data scientists, with numerous opportunities for professional development and networking. Airwallex's Melbourne office is located in the heart of the city, providing easy access to transportation, restaurants, and cultural attractions. Relocating to Melbourne offers an incredible opportunity to live in one of the world's most livable cities, with a vibrant arts scene, world-class dining, and stunning natural landscapes just a short drive away.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, you will have the opportunity to advance your career in several directions. You could become a Principal Data Scientist, leading a team of data scientists and driving strategic initiatives. Alternatively, you could specialize in a particular area of data science, such as machine learning or causal inference. We also offer opportunities to move into management roles, such as Data Science Manager or Director of Data Science.

Salary & Benefits

Airwallex offers a competitive salary and benefits package commensurate with experience. The estimated salary range for this position in Melbourne is $150,000 - $220,000 USD per year. In addition to salary, we offer a comprehensive benefits package that includes health insurance, paid time off, professional development opportunities, and more. We are committed to providing our employees with a supportive and rewarding work environment.

Airwallex Culture

Airwallex is a fast-paced, innovative company with a strong focus on teamwork and collaboration. We value our employees and are committed to providing them with opportunities to grow and develop their careers. We are looking for individuals who are passionate about data science and are eager to make a significant impact on our company's growth. Our culture fosters a collaborative environment where everyone's ideas are valued, and we encourage continuous learning and development.

How to Apply

To apply for this position, please submit your resume and cover letter through our online application portal. In your cover letter, please highlight your relevant experience and explain why you are a good fit for this role. We are looking for candidates who are passionate about data science and are eager to make a significant impact on our company's growth.

Frequently Asked Questions (FAQ)

  1. What is Airwallex? Airwallex is the only unified payments and financial platform for global businesses.
  2. What does the Growth Data Science team do? The Growth Data Science team uses data and AI to drive growth across the customer lifecycle.
  3. What skills are required for this role? Strong skills in machine learning, statistical modeling, data analysis, and communication are required.
  4. What is the career path for this role? You can advance to Principal Data Scientist, specialize in a specific area, or move into management roles.
  5. What is the salary range for this role? The estimated salary range is $150,000 - $220,000 USD per year.
  6. What benefits does Airwallex offer? We offer health insurance, paid time off, professional development, and more.
  7. What is the company culture like? Our culture is fast-paced, innovative, and collaborative.
  8. Where is the Melbourne office located? The Melbourne office is located in the heart of the city.
  9. What opportunities are there for professional development? We offer opportunities for training, conferences, and mentorship.
  10. Is relocation assistance provided? Relocation assistance may be available for qualified candidates.

Locations

  • Melbourne, Victoria, 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
  • Statistical Modelingintermediate
  • Predictive Modelingintermediate
  • Causal Inferenceintermediate
  • Data Analysisintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • A/B Testingintermediate
  • Experimentationintermediate
  • Personalizationintermediate
  • Customer Segmentationintermediate
  • Data Miningintermediate
  • LLMsintermediate
  • Deep Learningintermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Big Data Technologies (Spark, Hadoop)intermediate
  • Data Engineeringintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Business Acumenintermediate
  • Marketing Analyticsintermediate
  • Growth Hackingintermediate
  • Stakeholder Managementintermediate

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. (experience)
  • Proven experience in developing and deploying machine learning models. (experience)
  • Strong understanding of statistical modeling techniques. (experience)
  • Experience with causal inference methods. (experience)
  • Proficiency in Python or R. (experience)
  • Experience with SQL and data manipulation. (experience)
  • Experience with data visualization tools (e.g., Tableau, Power BI). (experience)
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure). (experience)
  • Experience with big data technologies (e.g., Spark, Hadoop). (experience)
  • Strong communication and presentation skills. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Experience working with marketing and growth teams. (experience)
  • Experience in the fintech or e-commerce industry is a plus. (experience)

Responsibilities

  • Develop predictive models to identify high-value users for Marketing and Commercial teams.
  • Apply machine learning and statistical models to measure the causal impact of marketing initiatives.
  • Develop personalization solutions to drive client onboarding efficiencies.
  • Optimize referral incentive impacts.
  • Optimize product cross-selling strategies.
  • Partner closely with Growth and Marketing teams to design, deploy, and iterate on data science solutions.
  • Translate data insights into actionable recommendations to strengthen brand presence and accelerate growth.
  • Design and implement A/B tests to validate hypotheses and improve model performance.
  • Conduct data analysis to identify opportunities for growth and optimization.
  • Build and maintain data pipelines to ensure data quality and availability.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay up-to-date on the latest advancements in data science and machine learning.
  • Contribute to the development of the data science team's best practices and methodologies.
  • Work with engineering teams to deploy models and solutions to production.
  • Mentor junior data scientists.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health insurance.
  • general: Generous paid time off.
  • general: Professional development opportunities.
  • general: Opportunity to work on cutting-edge technology.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to make a significant impact on a rapidly growing company.
  • general: Flexible work arrangements.
  • general: Employee assistance program.
  • general: Wellness programs.
  • general: Team-building activities.
  • general: Company-sponsored events.
  • general: Snacks and beverages in the office.
  • general: Commuting benefits.
  • general: Relocation assistance (if applicable).

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

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Algorithm Careers at Airwallex - Melbourne, Victoria | 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 - Melbourne, Victoria | 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 ScienceAlgorithmMachine LearningMelbourneAustraliaGrowthFintechSenior Data ScientistAlgorithm DevelopmentStatistical ModelingPredictive ModelingCausal InferenceData AnalysisPythonRSQLVictoriaPaymentsMarketingPersonalizationCustomer AcquisitionCustomer EngagementCustomer RetentionAirwallex CareersData Science JobsTech Jobs MelbourneAI JobsCloud ComputingBig DataLLMsDeep LearningFinTechPaymentsEngineeringProduct

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.