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Senior Data Scientist, Algorithm Careers at Airwallex - Toronto, Canada | Apply Now!

Airwallex

Senior Data Scientist, Algorithm Careers at Airwallex - Toronto, Canada | Apply Now!

full-timePosted: Dec 4, 2025

Job Description

Senior Data Scientist, Algorithm at Airwallex

Role Overview

As a Senior Data Scientist, Algorithm at Airwallex, you will be a key member of our Growth Data Science team, responsible for developing and deploying advanced data science solutions to drive measurable business outcomes. You will partner closely with the Growth and Marketing teams to apply machine learning models to influence how we acquire, engage, and retain customers globally. Your work will directly shape Airwallex’s growth strategy and contribute to building the future of global banking.

A Day in the Life

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

  • Start your day by reviewing the performance of your models and identifying areas for improvement.
  • Collaborate with the Marketing team to understand their priorities and develop data-driven solutions to address their needs.
  • Work on developing predictive models to identify high-value users for targeted marketing campaigns.
  • Apply causal inference methods to measure the impact of marketing initiatives and optimize marketing spend.
  • Design and implement A/B tests to validate hypotheses and improve model performance.
  • Communicate your findings and recommendations to stakeholders across the organization.
  • Stay up-to-date with the latest trends and technologies in data science and machine learning.
  • Participate in team meetings and contribute to the overall growth and development of the data science team.

Why Toronto and San Francisco?

Toronto and San Francisco are both vibrant hubs for technology and innovation, offering a diverse and talented pool of data science professionals. Airwallex has a strong presence in both cities, providing opportunities for collaboration and career growth. These locations offer a high quality of life, with access to cultural attractions, outdoor activities, and a thriving food scene.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, Algorithm, you can advance your career in several directions. You could specialize in a particular area of data science, such as deep learning or natural language processing. You could also move into a leadership role, managing a team of data scientists and overseeing the development of data science solutions. Additionally, Airwallex's global presence provides opportunities for international assignments and cross-functional collaborations, expanding your skill set and broadening your career horizons.

Salary & Benefits

Airwallex offers a competitive salary and benefits package to attract and retain top talent. The estimated salary range for this role in Toronto or San Francisco is $160,000 - $220,000 USD annually. In addition to salary, we offer comprehensive health, dental, and vision insurance, a generous paid time off policy, professional development opportunities, and a variety of other benefits to support your well-being and career growth.

Airwallex Culture

Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and teamwork. We value individuals who are passionate about solving complex problems and making a real impact on the business. We foster a culture of continuous learning and encourage our employees to stay up-to-date with the latest trends and technologies in their respective fields. We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected.

How to Apply

If you are interested in joining the Airwallex team as a Senior Data Scientist, Algorithm, we encourage you to apply online through our careers website. Please submit your resume and a cover letter highlighting your qualifications and experience. We look forward to hearing from you!

FAQ

  1. What are the key skills and qualifications for this role?

    A Master's or Ph.D. degree in a quantitative field, 5+ years of experience in data science, strong understanding of machine learning, and proficiency in Python or R are essential.

  2. What are the responsibilities of a Senior Data Scientist, Algorithm at Airwallex?

    You'll develop predictive models, apply machine learning to measure marketing impact, and build personalization solutions, among other responsibilities.

  3. What is the career path for this role?

    You can specialize in areas like deep learning or NLP, move into a leadership role, or pursue international assignments.

  4. What is the salary range for this position?

    The estimated salary range is $160,000 - $220,000 USD annually.

  5. What benefits does Airwallex offer?

    Comprehensive health insurance, generous paid time off, professional development opportunities, and more.

  6. What is the company culture like at Airwallex?

    Airwallex fosters a collaborative, innovative, and inclusive environment where continuous learning is encouraged.

  7. Where are the Airwallex offices located?

    Airwallex has offices in 26 locations around the globe.

  8. What type of projects will I be working on?

    You'll be working on projects that directly impact Airwallex's growth strategy, such as developing predictive models and personalization solutions.

  9. What tools and technologies will I be using?

    You'll be using tools like Python, R, SQL, and cloud computing platforms (AWS, GCP, Azure).

  10. How does Airwallex support employee growth and development?

    Airwallex provides professional development opportunities, mentorship programs, and encourages employees to stay up-to-date with the latest trends in their field.

Locations

  • Toronto, Ontario, Canada
  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

176,000 - 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
  • Predictive Modelingintermediate
  • Statistical Modelingintermediate
  • Causal Inferenceintermediate
  • Personalizationintermediate
  • Data Analysisintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Business Acumenintermediate
  • Deep Learningintermediate
  • Natural Language Processing (NLP)intermediate
  • LLM (Large Language Models)intermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Data Engineeringintermediate
  • Model Deploymentintermediate
  • Feature Engineeringintermediate
  • Data Miningintermediate
  • Statistical Analysisintermediate
  • Experiment Designintermediate

Required Qualifications

  • Master's or Ph.D. degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) (experience)
  • 5+ years of experience in a data science role, preferably in a growth or marketing setting (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 programming languages such as Python or R (experience)
  • Experience with SQL and data manipulation (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to translate complex data insights into actionable business recommendations (experience)
  • Experience with causal inference methods (experience)
  • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) (experience)
  • Proven track record of driving measurable business outcomes with data science solutions (experience)
  • Strong problem-solving skills and attention to detail (experience)
  • Experience with A/B testing and experimentation (experience)
  • Experience with personalization techniques (experience)
  • Experience with marketing analytics (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.
  • Develop personalization to improve product cross-selling.
  • Partner 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 data science solutions, from predictive modeling to LLM-powered systems.
  • Contribute to the development of Airwallex’s growth strategy.
  • Conduct data analysis to identify opportunities for growth and optimization.
  • Design and implement A/B tests to validate hypotheses and improve performance.
  • Communicate findings and recommendations to stakeholders across the organization.
  • Stay up-to-date with the latest trends and technologies in data science and machine learning.
  • Collaborate with other data scientists and engineers to build and maintain data infrastructure.
  • Mentor junior data scientists and contribute to the growth of the data science team

Benefits

  • general: Competitive salary and equity
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off policy
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Flexible work arrangements
  • general: Company-sponsored events and activities
  • general: Wellness programs
  • general: Commuter benefits
  • general: Parental leave
  • general: Retirement plan with employer match
  • general: Opportunity to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to learn and grow with a fast-growing company
  • general: Global mobility opportunities
  • general: Stock options

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

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Tags & Categories

Data ScienceAlgorithmMachine LearningGrowth MarketingFintechTorontoSan FranciscoData ScientistPredictive ModelingCausal InferencePersonalizationMarketing AnalyticsData AnalysisAirwallexFinancial ServicesData Science JobsMachine Learning EngineerAIArtificial IntelligencePythonRSQLCloud ComputingAWSGCPAzureDeep LearningNLPNatural Language ProcessingLLMLarge Language ModelsCustomer AcquisitionCustomer RetentionUser EngagementFinTechPaymentsEngineeringProduct

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Airwallex logo

Senior Data Scientist, Algorithm Careers at Airwallex - Toronto, Canada | Apply Now!

Airwallex

Senior Data Scientist, Algorithm Careers at Airwallex - Toronto, Canada | Apply Now!

full-timePosted: Dec 4, 2025

Job Description

Senior Data Scientist, Algorithm at Airwallex

Role Overview

As a Senior Data Scientist, Algorithm at Airwallex, you will be a key member of our Growth Data Science team, responsible for developing and deploying advanced data science solutions to drive measurable business outcomes. You will partner closely with the Growth and Marketing teams to apply machine learning models to influence how we acquire, engage, and retain customers globally. Your work will directly shape Airwallex’s growth strategy and contribute to building the future of global banking.

A Day in the Life

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

  • Start your day by reviewing the performance of your models and identifying areas for improvement.
  • Collaborate with the Marketing team to understand their priorities and develop data-driven solutions to address their needs.
  • Work on developing predictive models to identify high-value users for targeted marketing campaigns.
  • Apply causal inference methods to measure the impact of marketing initiatives and optimize marketing spend.
  • Design and implement A/B tests to validate hypotheses and improve model performance.
  • Communicate your findings and recommendations to stakeholders across the organization.
  • Stay up-to-date with the latest trends and technologies in data science and machine learning.
  • Participate in team meetings and contribute to the overall growth and development of the data science team.

Why Toronto and San Francisco?

Toronto and San Francisco are both vibrant hubs for technology and innovation, offering a diverse and talented pool of data science professionals. Airwallex has a strong presence in both cities, providing opportunities for collaboration and career growth. These locations offer a high quality of life, with access to cultural attractions, outdoor activities, and a thriving food scene.

Career Path

At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Scientist, Algorithm, you can advance your career in several directions. You could specialize in a particular area of data science, such as deep learning or natural language processing. You could also move into a leadership role, managing a team of data scientists and overseeing the development of data science solutions. Additionally, Airwallex's global presence provides opportunities for international assignments and cross-functional collaborations, expanding your skill set and broadening your career horizons.

Salary & Benefits

Airwallex offers a competitive salary and benefits package to attract and retain top talent. The estimated salary range for this role in Toronto or San Francisco is $160,000 - $220,000 USD annually. In addition to salary, we offer comprehensive health, dental, and vision insurance, a generous paid time off policy, professional development opportunities, and a variety of other benefits to support your well-being and career growth.

Airwallex Culture

Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and teamwork. We value individuals who are passionate about solving complex problems and making a real impact on the business. We foster a culture of continuous learning and encourage our employees to stay up-to-date with the latest trends and technologies in their respective fields. We are committed to creating a diverse and inclusive workplace where everyone feels valued and respected.

How to Apply

If you are interested in joining the Airwallex team as a Senior Data Scientist, Algorithm, we encourage you to apply online through our careers website. Please submit your resume and a cover letter highlighting your qualifications and experience. We look forward to hearing from you!

FAQ

  1. What are the key skills and qualifications for this role?

    A Master's or Ph.D. degree in a quantitative field, 5+ years of experience in data science, strong understanding of machine learning, and proficiency in Python or R are essential.

  2. What are the responsibilities of a Senior Data Scientist, Algorithm at Airwallex?

    You'll develop predictive models, apply machine learning to measure marketing impact, and build personalization solutions, among other responsibilities.

  3. What is the career path for this role?

    You can specialize in areas like deep learning or NLP, move into a leadership role, or pursue international assignments.

  4. What is the salary range for this position?

    The estimated salary range is $160,000 - $220,000 USD annually.

  5. What benefits does Airwallex offer?

    Comprehensive health insurance, generous paid time off, professional development opportunities, and more.

  6. What is the company culture like at Airwallex?

    Airwallex fosters a collaborative, innovative, and inclusive environment where continuous learning is encouraged.

  7. Where are the Airwallex offices located?

    Airwallex has offices in 26 locations around the globe.

  8. What type of projects will I be working on?

    You'll be working on projects that directly impact Airwallex's growth strategy, such as developing predictive models and personalization solutions.

  9. What tools and technologies will I be using?

    You'll be using tools like Python, R, SQL, and cloud computing platforms (AWS, GCP, Azure).

  10. How does Airwallex support employee growth and development?

    Airwallex provides professional development opportunities, mentorship programs, and encourages employees to stay up-to-date with the latest trends in their field.

Locations

  • Toronto, Ontario, Canada
  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

176,000 - 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
  • Predictive Modelingintermediate
  • Statistical Modelingintermediate
  • Causal Inferenceintermediate
  • Personalizationintermediate
  • Data Analysisintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Business Acumenintermediate
  • Deep Learningintermediate
  • Natural Language Processing (NLP)intermediate
  • LLM (Large Language Models)intermediate
  • Cloud Computing (AWS, GCP, Azure)intermediate
  • Data Engineeringintermediate
  • Model Deploymentintermediate
  • Feature Engineeringintermediate
  • Data Miningintermediate
  • Statistical Analysisintermediate
  • Experiment Designintermediate

Required Qualifications

  • Master's or Ph.D. degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) (experience)
  • 5+ years of experience in a data science role, preferably in a growth or marketing setting (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 programming languages such as Python or R (experience)
  • Experience with SQL and data manipulation (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to translate complex data insights into actionable business recommendations (experience)
  • Experience with causal inference methods (experience)
  • Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) (experience)
  • Proven track record of driving measurable business outcomes with data science solutions (experience)
  • Strong problem-solving skills and attention to detail (experience)
  • Experience with A/B testing and experimentation (experience)
  • Experience with personalization techniques (experience)
  • Experience with marketing analytics (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.
  • Develop personalization to improve product cross-selling.
  • Partner 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 data science solutions, from predictive modeling to LLM-powered systems.
  • Contribute to the development of Airwallex’s growth strategy.
  • Conduct data analysis to identify opportunities for growth and optimization.
  • Design and implement A/B tests to validate hypotheses and improve performance.
  • Communicate findings and recommendations to stakeholders across the organization.
  • Stay up-to-date with the latest trends and technologies in data science and machine learning.
  • Collaborate with other data scientists and engineers to build and maintain data infrastructure.
  • Mentor junior data scientists and contribute to the growth of the data science team

Benefits

  • general: Competitive salary and equity
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off policy
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Flexible work arrangements
  • general: Company-sponsored events and activities
  • general: Wellness programs
  • general: Commuter benefits
  • general: Parental leave
  • general: Retirement plan with employer match
  • general: Opportunity to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to learn and grow with a fast-growing company
  • general: Global mobility opportunities
  • general: Stock options

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

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Algorithm Careers at Airwallex - Toronto, Canada | 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 - Toronto, Canada | 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 LearningGrowth MarketingFintechTorontoSan FranciscoData ScientistPredictive ModelingCausal InferencePersonalizationMarketing AnalyticsData AnalysisAirwallexFinancial ServicesData Science JobsMachine Learning EngineerAIArtificial IntelligencePythonRSQLCloud ComputingAWSGCPAzureDeep LearningNLPNatural Language ProcessingLLMLarge Language ModelsCustomer AcquisitionCustomer RetentionUser EngagementFinTechPaymentsEngineeringProduct

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.