Senior Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!
Airwallex
Senior Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!
Job Description
Senior Data Scientist, Algorithm - Growth at Airwallex
Role Overview
Airwallex is seeking a Senior Data Scientist to join our Growth Data Science team. In this role, you will be a key contributor to driving measurable business outcomes through the development and deployment of high-impact data science solutions. You'll partner closely with Growth and Marketing teams, applying machine learning models to influence how we acquire, engage, and retain customers globally. Your work will directly impact Airwallex’s growth strategy, strengthening our brand presence and accelerating expansion.
A Day in the Life
As a Senior Data Scientist, your day will involve a mix of the following activities:
- Developing and implementing predictive models to identify high-value users for targeted marketing campaigns.
- Applying machine learning techniques to measure the causal impact of various marketing initiatives, ensuring we're optimizing our investments.
- Building personalization solutions to enhance client onboarding efficiency, optimize referral programs, and drive product cross-selling.
- Collaborating with Growth and Marketing teams to understand their needs and translate them into data science solutions.
- Conducting in-depth data analysis to uncover opportunities for improvement in customer acquisition, engagement, and retention.
- Designing and implementing A/B tests to rigorously evaluate the effectiveness of different marketing strategies.
- Maintaining data pipelines to ensure the availability and quality of data for model training and evaluation.
- Communicating findings and recommendations to stakeholders, clearly articulating the impact of your work.
- Staying abreast of the latest advancements in data science and machine learning, and sharing your knowledge with the team.
- Contributing to the development of Airwallex's data science infrastructure and promoting best practices.
Why San Francisco?
San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex to base its Growth Data Science team. The city offers a vibrant ecosystem of talent, resources, and opportunities. Being in San Francisco provides access to:
- A large pool of highly skilled data scientists and engineers.
- A strong network of investors and mentors.
- Cutting-edge research and development in artificial intelligence and machine learning.
- A culture of innovation and entrepreneurship.
Furthermore, San Francisco's proximity to other tech hubs like Silicon Valley fosters collaboration and knowledge sharing.
Career Path
Airwallex is committed to the growth and development of its employees. As a Senior Data Scientist, you'll have opportunities to advance your career in several directions. Potential career paths include:
- Principal Data Scientist: Lead complex data science projects, mentor junior data scientists, and contribute to the development of the team's technical expertise.
- Data Science Manager: Manage a team of data scientists, providing technical leadership and guidance.
- Research Scientist: Focus on cutting-edge research and development in machine learning and artificial intelligence.
- Product Manager: Leverage your data science expertise to define and develop data-driven products.
Airwallex also provides opportunities for cross-functional moves, allowing you to broaden your skillset and contribute to other areas of the business.
Salary & Benefits
The estimated salary range for this role in San Francisco is $170,000 - $240,000 annually. This range is based on market data and the candidate's experience and qualifications. Airwallex also offers a comprehensive benefits package, including:
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- Flexible work arrangements.
- Professional development opportunities.
- Opportunity to work on challenging and impactful projects.
- Collaborative and supportive work environment.
- Opportunity to shape the future of global payments and financial services.
- Company-sponsored events and activities.
- Commuter benefits.
- Wellness programs.
- Employee assistance program.
- Stocked kitchen with snacks and drinks.
- Team lunches and happy hours.
Airwallex Culture
Airwallex fosters a culture of innovation, collaboration, and ownership. We value:
- Ambitious Thinking: We encourage our employees to think big and challenge the status quo.
- Customer Focus: We are committed to providing our customers with the best possible experience.
- Ownership: We empower our employees to take ownership of their work and make a difference.
- Collaboration: We believe that teamwork is essential to our success.
- Continuous Learning: We are committed to providing our employees with opportunities to learn and grow.
We are looking for individuals who are passionate about building the future of global finance and who are eager to contribute to our mission.
How to Apply
If you are interested in applying for this position, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and skills, and explain why you are interested in working at Airwallex. If you meet the requirements, our recruitment team will contact you for an interview.
FAQ
- What is Airwallex?
Airwallex is the only unified payments and financial platform for global businesses, powering over 200,000 businesses worldwide.
- 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.
- What skills are important for this role?
Strong skills in machine learning, statistical modeling, data analysis, and communication are essential.
- What are the responsibilities of this role?
Responsibilities include developing predictive models, measuring the impact of marketing initiatives, and building personalization solutions.
- What are the benefits of working at Airwallex?
Airwallex offers a competitive salary, comprehensive benefits, and a collaborative work environment.
- What is the career path for this role?
Potential career paths include Principal Data Scientist, Data Science Manager, and Research Scientist.
- What is the company culture like?
Airwallex fosters a culture of innovation, collaboration, and ownership.
- What is the interview process like?
The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager.
- What is the salary range for this role?
The estimated salary range is $170,000 - $240,000 annually, depending on experience and qualifications.
- What is Airwallex's mission?
Airwallex is leading the charge in building the global payments and financial platform of the future.
Locations
- San Francisco, California, United States
Salary
187,000 - 264,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Data Scienceintermediate
- Predictive Modelingintermediate
- Personalizationintermediate
- Causal Inferenceintermediate
- Statistical Modelingintermediate
- A/B Testingintermediate
- Pythonintermediate
- Rintermediate
- SQLintermediate
- Cloud Computing (AWS, Azure, GCP)intermediate
- Data Visualization (Tableau, Looker)intermediate
- Experimentationintermediate
- Data Analysisintermediate
- Communicationintermediate
- Problem-Solvingintermediate
- Business Acumenintermediate
- Growth Marketingintermediate
- Customer Lifecycle Analysisintermediate
- LLM (Large Language Models)intermediate
- Model Deploymentintermediate
- Feature Engineeringintermediate
- Big Data Technologies (Spark, Hadoop)intermediate
- Deep Learningintermediate
Required Qualifications
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) or equivalent experience. (experience)
- 5+ years of experience in a Data Science role, with a focus on machine learning and statistical modeling. (experience)
- Strong proficiency in Python or R and SQL. (experience)
- Experience developing and deploying machine learning models in a production environment. (experience)
- Solid understanding of statistical methods, including hypothesis testing, regression analysis, and causal inference. (experience)
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop). (experience)
- Proven ability to translate data insights into actionable recommendations. (experience)
- Excellent communication and presentation skills. (experience)
- Strong business acumen and understanding of marketing and growth strategies. (experience)
- Experience with A/B testing and experimentation. (experience)
- Ability to work independently and collaboratively in a fast-paced environment. (experience)
- Experience in financial technology or payments industry is a plus. (experience)
- Master’s or PhD degree in a quantitative field is a plus. (experience)
- Experience with personalization techniques is a plus. (experience)
- Experience with LLMs (Large Language Models) is a plus. (experience)
- Experience with developing and measuring the impact of marketing campaigns. (experience)
- Experience building models to optimize incentive programs. (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 solutions for product cross-selling.
- Partner closely with Growth and Marketing teams to design, deploy, and iterate on data science solutions.
- Translate data insights into actionable recommendations that strengthen brand presence and accelerate growth.
- Conduct data analysis to identify opportunities for improvement in customer acquisition, engagement, and retention.
- Design and implement A/B tests to evaluate the effectiveness of different marketing strategies.
- Build and maintain data pipelines for model training and evaluation.
- 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 Airwallex's data science infrastructure and best practices.
- Collaborate with other data scientists and engineers to build and deploy data-driven products.
- Develop and implement machine learning models to improve customer segmentation and targeting.
- Analyze customer behavior to identify patterns and trends.
- Build models to predict customer churn and identify strategies to improve retention.
- Work with large datasets to extract meaningful insights.
- Apply machine learning techniques to personalize the user experience.
Benefits
- general: Competitive salary and equity package.
- general: Comprehensive health, dental, and vision insurance.
- general: Generous paid time off and holidays.
- general: Flexible work arrangements.
- general: Professional development opportunities.
- general: Opportunity to work on challenging and impactful projects.
- general: Collaborative and supportive work environment.
- general: Opportunity to shape the future of global payments and financial services.
- general: Company-sponsored events and activities.
- general: Commuter benefits.
- general: Wellness programs.
- general: Employee assistance program.
- general: Stocked kitchen with snacks and drinks.
- general: Team lunches and happy hours.
- general: Opportunity to work with a diverse and talented team.
- general: Pet Insurance
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.
Related Books and Jobs
Senior Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!
Airwallex
Senior Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now!
Job Description
Senior Data Scientist, Algorithm - Growth at Airwallex
Role Overview
Airwallex is seeking a Senior Data Scientist to join our Growth Data Science team. In this role, you will be a key contributor to driving measurable business outcomes through the development and deployment of high-impact data science solutions. You'll partner closely with Growth and Marketing teams, applying machine learning models to influence how we acquire, engage, and retain customers globally. Your work will directly impact Airwallex’s growth strategy, strengthening our brand presence and accelerating expansion.
A Day in the Life
As a Senior Data Scientist, your day will involve a mix of the following activities:
- Developing and implementing predictive models to identify high-value users for targeted marketing campaigns.
- Applying machine learning techniques to measure the causal impact of various marketing initiatives, ensuring we're optimizing our investments.
- Building personalization solutions to enhance client onboarding efficiency, optimize referral programs, and drive product cross-selling.
- Collaborating with Growth and Marketing teams to understand their needs and translate them into data science solutions.
- Conducting in-depth data analysis to uncover opportunities for improvement in customer acquisition, engagement, and retention.
- Designing and implementing A/B tests to rigorously evaluate the effectiveness of different marketing strategies.
- Maintaining data pipelines to ensure the availability and quality of data for model training and evaluation.
- Communicating findings and recommendations to stakeholders, clearly articulating the impact of your work.
- Staying abreast of the latest advancements in data science and machine learning, and sharing your knowledge with the team.
- Contributing to the development of Airwallex's data science infrastructure and promoting best practices.
Why San Francisco?
San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex to base its Growth Data Science team. The city offers a vibrant ecosystem of talent, resources, and opportunities. Being in San Francisco provides access to:
- A large pool of highly skilled data scientists and engineers.
- A strong network of investors and mentors.
- Cutting-edge research and development in artificial intelligence and machine learning.
- A culture of innovation and entrepreneurship.
Furthermore, San Francisco's proximity to other tech hubs like Silicon Valley fosters collaboration and knowledge sharing.
Career Path
Airwallex is committed to the growth and development of its employees. As a Senior Data Scientist, you'll have opportunities to advance your career in several directions. Potential career paths include:
- Principal Data Scientist: Lead complex data science projects, mentor junior data scientists, and contribute to the development of the team's technical expertise.
- Data Science Manager: Manage a team of data scientists, providing technical leadership and guidance.
- Research Scientist: Focus on cutting-edge research and development in machine learning and artificial intelligence.
- Product Manager: Leverage your data science expertise to define and develop data-driven products.
Airwallex also provides opportunities for cross-functional moves, allowing you to broaden your skillset and contribute to other areas of the business.
Salary & Benefits
The estimated salary range for this role in San Francisco is $170,000 - $240,000 annually. This range is based on market data and the candidate's experience and qualifications. Airwallex also offers a comprehensive benefits package, including:
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and holidays.
- Flexible work arrangements.
- Professional development opportunities.
- Opportunity to work on challenging and impactful projects.
- Collaborative and supportive work environment.
- Opportunity to shape the future of global payments and financial services.
- Company-sponsored events and activities.
- Commuter benefits.
- Wellness programs.
- Employee assistance program.
- Stocked kitchen with snacks and drinks.
- Team lunches and happy hours.
Airwallex Culture
Airwallex fosters a culture of innovation, collaboration, and ownership. We value:
- Ambitious Thinking: We encourage our employees to think big and challenge the status quo.
- Customer Focus: We are committed to providing our customers with the best possible experience.
- Ownership: We empower our employees to take ownership of their work and make a difference.
- Collaboration: We believe that teamwork is essential to our success.
- Continuous Learning: We are committed to providing our employees with opportunities to learn and grow.
We are looking for individuals who are passionate about building the future of global finance and who are eager to contribute to our mission.
How to Apply
If you are interested in applying for this position, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and skills, and explain why you are interested in working at Airwallex. If you meet the requirements, our recruitment team will contact you for an interview.
FAQ
- What is Airwallex?
Airwallex is the only unified payments and financial platform for global businesses, powering over 200,000 businesses worldwide.
- 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.
- What skills are important for this role?
Strong skills in machine learning, statistical modeling, data analysis, and communication are essential.
- What are the responsibilities of this role?
Responsibilities include developing predictive models, measuring the impact of marketing initiatives, and building personalization solutions.
- What are the benefits of working at Airwallex?
Airwallex offers a competitive salary, comprehensive benefits, and a collaborative work environment.
- What is the career path for this role?
Potential career paths include Principal Data Scientist, Data Science Manager, and Research Scientist.
- What is the company culture like?
Airwallex fosters a culture of innovation, collaboration, and ownership.
- What is the interview process like?
The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager.
- What is the salary range for this role?
The estimated salary range is $170,000 - $240,000 annually, depending on experience and qualifications.
- What is Airwallex's mission?
Airwallex is leading the charge in building the global payments and financial platform of the future.
Locations
- San Francisco, California, United States
Salary
187,000 - 264,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Data Scienceintermediate
- Predictive Modelingintermediate
- Personalizationintermediate
- Causal Inferenceintermediate
- Statistical Modelingintermediate
- A/B Testingintermediate
- Pythonintermediate
- Rintermediate
- SQLintermediate
- Cloud Computing (AWS, Azure, GCP)intermediate
- Data Visualization (Tableau, Looker)intermediate
- Experimentationintermediate
- Data Analysisintermediate
- Communicationintermediate
- Problem-Solvingintermediate
- Business Acumenintermediate
- Growth Marketingintermediate
- Customer Lifecycle Analysisintermediate
- LLM (Large Language Models)intermediate
- Model Deploymentintermediate
- Feature Engineeringintermediate
- Big Data Technologies (Spark, Hadoop)intermediate
- Deep Learningintermediate
Required Qualifications
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) or equivalent experience. (experience)
- 5+ years of experience in a Data Science role, with a focus on machine learning and statistical modeling. (experience)
- Strong proficiency in Python or R and SQL. (experience)
- Experience developing and deploying machine learning models in a production environment. (experience)
- Solid understanding of statistical methods, including hypothesis testing, regression analysis, and causal inference. (experience)
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop). (experience)
- Proven ability to translate data insights into actionable recommendations. (experience)
- Excellent communication and presentation skills. (experience)
- Strong business acumen and understanding of marketing and growth strategies. (experience)
- Experience with A/B testing and experimentation. (experience)
- Ability to work independently and collaboratively in a fast-paced environment. (experience)
- Experience in financial technology or payments industry is a plus. (experience)
- Master’s or PhD degree in a quantitative field is a plus. (experience)
- Experience with personalization techniques is a plus. (experience)
- Experience with LLMs (Large Language Models) is a plus. (experience)
- Experience with developing and measuring the impact of marketing campaigns. (experience)
- Experience building models to optimize incentive programs. (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 solutions for product cross-selling.
- Partner closely with Growth and Marketing teams to design, deploy, and iterate on data science solutions.
- Translate data insights into actionable recommendations that strengthen brand presence and accelerate growth.
- Conduct data analysis to identify opportunities for improvement in customer acquisition, engagement, and retention.
- Design and implement A/B tests to evaluate the effectiveness of different marketing strategies.
- Build and maintain data pipelines for model training and evaluation.
- 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 Airwallex's data science infrastructure and best practices.
- Collaborate with other data scientists and engineers to build and deploy data-driven products.
- Develop and implement machine learning models to improve customer segmentation and targeting.
- Analyze customer behavior to identify patterns and trends.
- Build models to predict customer churn and identify strategies to improve retention.
- Work with large datasets to extract meaningful insights.
- Apply machine learning techniques to personalize the user experience.
Benefits
- general: Competitive salary and equity package.
- general: Comprehensive health, dental, and vision insurance.
- general: Generous paid time off and holidays.
- general: Flexible work arrangements.
- general: Professional development opportunities.
- general: Opportunity to work on challenging and impactful projects.
- general: Collaborative and supportive work environment.
- general: Opportunity to shape the future of global payments and financial services.
- general: Company-sponsored events and activities.
- general: Commuter benefits.
- general: Wellness programs.
- general: Employee assistance program.
- general: Stocked kitchen with snacks and drinks.
- general: Team lunches and happy hours.
- general: Opportunity to work with a diverse and talented team.
- general: Pet Insurance
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist, Algorithm - Growth Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.
Related Books and Jobs