Data Science Director, Growth Careers at Airwallex - San Francisco, California | Apply Now!
Airwallex
Data Science Director, Growth Careers at Airwallex - San Francisco, California | Apply Now!
Job Description
Data Science Director, Growth at Airwallex - San Francisco
Role Overview
As the Data Science Director, Growth at Airwallex, you will lead the data science engine behind our next phase of hyper-growth. This is a senior leadership role that sits at the intersection of data, product, and growth strategy, with responsibility for driving measurable impact across acquisition, activation, conversion, retention, and monetization. You will shape how we use experimentation, advanced analytics, and machine learning to unlock step-function growth, partnering closely with leaders in Product, Engineering, Marketing, and Design. This role is ideal for a growth-minded data science executive who thrives in a fast-scaling, high-impact environment.
A Day in the Life
Here's a glimpse into what a typical day might look like:
- Morning: Start with a team stand-up to discuss progress on key projects and address any roadblocks. Review performance metrics for ongoing experiments and identify areas for improvement.
- Mid-day: Meet with product managers and marketing leads to discuss upcoming growth initiatives and brainstorm potential data-driven solutions. Present findings from a recent segmentation analysis to senior management.
- Afternoon: Work with data scientists and engineers to develop and deploy a new personalization engine for lifecycle messaging. Review code for a machine learning model designed to predict customer churn.
- Evening: Attend a conference or workshop to stay up-to-date on the latest trends in data science and AI.
Why San Francisco?
San Francisco is a global hub for technology and innovation, making it the perfect location for a Data Science Director at a fast-growing fintech company like Airwallex. The city offers access to a wealth of talent, resources, and opportunities. San Francisco's vibrant tech ecosystem provides a supportive environment for professional growth and networking. Airwallex's San Francisco office is located in the heart of the city, offering easy access to public transportation, restaurants, and cultural attractions.
Career Path
This role offers significant opportunities for career advancement within Airwallex. As the company continues to grow, you will have the opportunity to expand your team, take on new challenges, and make a significant impact on the company's success. Potential career paths include Vice President of Data Science, Chief Data Officer, or other senior leadership positions.
Salary & Benefits
The estimated salary range for this role is $220,000 to $350,000 per year, depending on experience and qualifications. In addition to a competitive salary, Airwallex offers a comprehensive benefits package that includes health, dental, and vision insurance, generous paid time off, paid parental leave, flexible work arrangements, and professional development opportunities.
Airwallex Culture
Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and teamwork. We are looking for individuals who are passionate about solving complex problems and making a real difference in the world. We value diversity and inclusion and are committed to creating a supportive and welcoming work environment for all employees.
How to Apply
To apply for this position, please submit your resume and cover letter through our online application portal. Be sure to highlight your experience in data science, machine learning, and growth strategy. We look forward to hearing from you!
FAQ
- What is Airwallex? Airwallex is the only unified payments and financial platform for global businesses.
- Where is Airwallex headquartered? Airwallex was founded in Melbourne, Australia.
- How many employees does Airwallex have? Airwallex has over 2,000 employees worldwide.
- What is Airwallex's valuation? Airwallex is valued at US$8 billion.
- Who are Airwallex's investors? Airwallex is backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital.
- What are Airwallex's operating principles? Airwallex's operating principles can be found on our website.
- What is the company culture like at Airwallex? Airwallex fosters a high-growth, collaborative, and innovative environment.
- What opportunities for growth are available at Airwallex? Airwallex provides numerous career development and advancement opportunities.
- What kind of benefits does Airwallex offer? Airwallex offers comprehensive benefits, including health insurance, paid time off, and more.
- How do I apply for a job at Airwallex? You can apply for open positions through the Airwallex careers page.
Locations
- San Francisco, California, United States
Salary
242,000 - 385,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Scienceintermediate
- Machine Learningintermediate
- AIintermediate
- Experimentationintermediate
- A/B Testingintermediate
- Multi-Arm Banditsintermediate
- Causal Inferenceintermediate
- Personalizationintermediate
- Segmentationintermediate
- Product Analyticsintermediate
- Growth Strategyintermediate
- Data Analysisintermediate
- Pythonintermediate
- SQLintermediate
- Cloud Computing (AWS, GCP, Azure)intermediate
- Statistical Modelingintermediate
- Deep Learningintermediate
- Reinforcement Learningintermediate
- Natural Language Processing (NLP)intermediate
- Data Visualizationintermediate
- Stakeholder Managementintermediate
- Team Leadershipintermediate
- Mentoringintermediate
- Communicationintermediate
- Problem-solvingintermediate
- Strategic Thinkingintermediate
- Business Acumenintermediate
- Experiment Designintermediate
- Data Engineeringintermediate
- Big Data Technologies (Spark, Hadoop)intermediate
- GenAIintermediate
- Agentic Workflowsintermediate
- Embedding Modelsintermediate
- Recommendation Systemsintermediate
Required Qualifications
- 10+ years of experience in data science, with a focus on growth. (experience)
- 5+ years of experience in a leadership role, managing and mentoring data science teams. (experience)
- Proven track record of driving significant user and revenue growth through data-driven insights and experimentation. (experience)
- Deep understanding of statistical modeling, machine learning algorithms, and causal inference techniques. (experience)
- Experience architecting and overseeing experimentation frameworks (A/B testing, multi-arm bandits). (experience)
- Experience developing and deploying AI-powered solutions for personalization, segmentation, and growth. (experience)
- Strong programming skills in Python and SQL. (experience)
- Experience with cloud computing platforms (AWS, GCP, Azure). (experience)
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. (experience)
- Strong stakeholder management skills, with the ability to collaborate effectively with cross-functional teams. (experience)
- Master's or Ph.D. degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics). (experience)
- Experience in the fintech or e-commerce industry is a plus. (experience)
- Experience with big data technologies (Spark, Hadoop) is a plus. (experience)
- Familiarity with GenAI concepts and frameworks. (experience)
Responsibilities
- Lead and scale a high-impact data science and AI team focused on driving user and revenue growth.
- Build, mentor, and inspire a world-class team of data scientists and AI engineers.
- Foster expertise in applied machine learning and GenAI, ensuring the team balances experimentation, traditional data science rigor, and cutting-edge AI capabilities.
- Architect and oversee the company's experimentation framework (A/B testing, multi-arm bandits, causal inference) to accelerate innovation.
- Extend the experimentation framework into AI-driven adaptive experimentation, leveraging bandits and reinforcement learning to allocate growth investments dynamically.
- Develop growth-focused AI solutions, including agentic workflows for growth (e.g., automated campaign generation, sales assistant bots, lead research copilots).
- Build personalization engines using embeddings and recommendation models to deliver contextualized product experiences and lifecycle messaging.
- Conduct advanced segmentation analysis to identify high-potential user segments and tailor growth strategies accordingly.
- Partner closely with leaders in Product, Engineering, Marketing, and Design to align data science efforts with business objectives.
- Communicate data-driven insights and recommendations to stakeholders at all levels of the organization.
- Stay up-to-date on the latest trends and technologies in data science, machine learning, and AI.
- Champion a data-driven culture throughout the organization.
Benefits
- general: Competitive salary and equity package.
- general: Comprehensive health, dental, and vision insurance.
- general: Generous paid time off policy.
- general: Paid parental leave.
- general: Flexible work arrangements.
- general: Professional development opportunities.
- general: Employee assistance program.
- general: Wellness programs.
- general: Commuter benefits.
- general: Lunch and snacks provided.
- general: Team-building events.
- general: Opportunity to work on challenging and impactful projects.
- general: Collaborative and supportive work environment.
- general: Opportunity to work with a talented and passionate team.
- general: Make a real difference in a fast-growing company.
Tags & Categories
Answer 10 quick questions to check your fit for Data Science Director, Growth Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.
Related Books and Jobs
Data Science Director, Growth Careers at Airwallex - San Francisco, California | Apply Now!
Airwallex
Data Science Director, Growth Careers at Airwallex - San Francisco, California | Apply Now!
Job Description
Data Science Director, Growth at Airwallex - San Francisco
Role Overview
As the Data Science Director, Growth at Airwallex, you will lead the data science engine behind our next phase of hyper-growth. This is a senior leadership role that sits at the intersection of data, product, and growth strategy, with responsibility for driving measurable impact across acquisition, activation, conversion, retention, and monetization. You will shape how we use experimentation, advanced analytics, and machine learning to unlock step-function growth, partnering closely with leaders in Product, Engineering, Marketing, and Design. This role is ideal for a growth-minded data science executive who thrives in a fast-scaling, high-impact environment.
A Day in the Life
Here's a glimpse into what a typical day might look like:
- Morning: Start with a team stand-up to discuss progress on key projects and address any roadblocks. Review performance metrics for ongoing experiments and identify areas for improvement.
- Mid-day: Meet with product managers and marketing leads to discuss upcoming growth initiatives and brainstorm potential data-driven solutions. Present findings from a recent segmentation analysis to senior management.
- Afternoon: Work with data scientists and engineers to develop and deploy a new personalization engine for lifecycle messaging. Review code for a machine learning model designed to predict customer churn.
- Evening: Attend a conference or workshop to stay up-to-date on the latest trends in data science and AI.
Why San Francisco?
San Francisco is a global hub for technology and innovation, making it the perfect location for a Data Science Director at a fast-growing fintech company like Airwallex. The city offers access to a wealth of talent, resources, and opportunities. San Francisco's vibrant tech ecosystem provides a supportive environment for professional growth and networking. Airwallex's San Francisco office is located in the heart of the city, offering easy access to public transportation, restaurants, and cultural attractions.
Career Path
This role offers significant opportunities for career advancement within Airwallex. As the company continues to grow, you will have the opportunity to expand your team, take on new challenges, and make a significant impact on the company's success. Potential career paths include Vice President of Data Science, Chief Data Officer, or other senior leadership positions.
Salary & Benefits
The estimated salary range for this role is $220,000 to $350,000 per year, depending on experience and qualifications. In addition to a competitive salary, Airwallex offers a comprehensive benefits package that includes health, dental, and vision insurance, generous paid time off, paid parental leave, flexible work arrangements, and professional development opportunities.
Airwallex Culture
Airwallex is a fast-paced, innovative company with a strong emphasis on collaboration and teamwork. We are looking for individuals who are passionate about solving complex problems and making a real difference in the world. We value diversity and inclusion and are committed to creating a supportive and welcoming work environment for all employees.
How to Apply
To apply for this position, please submit your resume and cover letter through our online application portal. Be sure to highlight your experience in data science, machine learning, and growth strategy. We look forward to hearing from you!
FAQ
- What is Airwallex? Airwallex is the only unified payments and financial platform for global businesses.
- Where is Airwallex headquartered? Airwallex was founded in Melbourne, Australia.
- How many employees does Airwallex have? Airwallex has over 2,000 employees worldwide.
- What is Airwallex's valuation? Airwallex is valued at US$8 billion.
- Who are Airwallex's investors? Airwallex is backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital.
- What are Airwallex's operating principles? Airwallex's operating principles can be found on our website.
- What is the company culture like at Airwallex? Airwallex fosters a high-growth, collaborative, and innovative environment.
- What opportunities for growth are available at Airwallex? Airwallex provides numerous career development and advancement opportunities.
- What kind of benefits does Airwallex offer? Airwallex offers comprehensive benefits, including health insurance, paid time off, and more.
- How do I apply for a job at Airwallex? You can apply for open positions through the Airwallex careers page.
Locations
- San Francisco, California, United States
Salary
242,000 - 385,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Data Scienceintermediate
- Machine Learningintermediate
- AIintermediate
- Experimentationintermediate
- A/B Testingintermediate
- Multi-Arm Banditsintermediate
- Causal Inferenceintermediate
- Personalizationintermediate
- Segmentationintermediate
- Product Analyticsintermediate
- Growth Strategyintermediate
- Data Analysisintermediate
- Pythonintermediate
- SQLintermediate
- Cloud Computing (AWS, GCP, Azure)intermediate
- Statistical Modelingintermediate
- Deep Learningintermediate
- Reinforcement Learningintermediate
- Natural Language Processing (NLP)intermediate
- Data Visualizationintermediate
- Stakeholder Managementintermediate
- Team Leadershipintermediate
- Mentoringintermediate
- Communicationintermediate
- Problem-solvingintermediate
- Strategic Thinkingintermediate
- Business Acumenintermediate
- Experiment Designintermediate
- Data Engineeringintermediate
- Big Data Technologies (Spark, Hadoop)intermediate
- GenAIintermediate
- Agentic Workflowsintermediate
- Embedding Modelsintermediate
- Recommendation Systemsintermediate
Required Qualifications
- 10+ years of experience in data science, with a focus on growth. (experience)
- 5+ years of experience in a leadership role, managing and mentoring data science teams. (experience)
- Proven track record of driving significant user and revenue growth through data-driven insights and experimentation. (experience)
- Deep understanding of statistical modeling, machine learning algorithms, and causal inference techniques. (experience)
- Experience architecting and overseeing experimentation frameworks (A/B testing, multi-arm bandits). (experience)
- Experience developing and deploying AI-powered solutions for personalization, segmentation, and growth. (experience)
- Strong programming skills in Python and SQL. (experience)
- Experience with cloud computing platforms (AWS, GCP, Azure). (experience)
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. (experience)
- Strong stakeholder management skills, with the ability to collaborate effectively with cross-functional teams. (experience)
- Master's or Ph.D. degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics). (experience)
- Experience in the fintech or e-commerce industry is a plus. (experience)
- Experience with big data technologies (Spark, Hadoop) is a plus. (experience)
- Familiarity with GenAI concepts and frameworks. (experience)
Responsibilities
- Lead and scale a high-impact data science and AI team focused on driving user and revenue growth.
- Build, mentor, and inspire a world-class team of data scientists and AI engineers.
- Foster expertise in applied machine learning and GenAI, ensuring the team balances experimentation, traditional data science rigor, and cutting-edge AI capabilities.
- Architect and oversee the company's experimentation framework (A/B testing, multi-arm bandits, causal inference) to accelerate innovation.
- Extend the experimentation framework into AI-driven adaptive experimentation, leveraging bandits and reinforcement learning to allocate growth investments dynamically.
- Develop growth-focused AI solutions, including agentic workflows for growth (e.g., automated campaign generation, sales assistant bots, lead research copilots).
- Build personalization engines using embeddings and recommendation models to deliver contextualized product experiences and lifecycle messaging.
- Conduct advanced segmentation analysis to identify high-potential user segments and tailor growth strategies accordingly.
- Partner closely with leaders in Product, Engineering, Marketing, and Design to align data science efforts with business objectives.
- Communicate data-driven insights and recommendations to stakeholders at all levels of the organization.
- Stay up-to-date on the latest trends and technologies in data science, machine learning, and AI.
- Champion a data-driven culture throughout the organization.
Benefits
- general: Competitive salary and equity package.
- general: Comprehensive health, dental, and vision insurance.
- general: Generous paid time off policy.
- general: Paid parental leave.
- general: Flexible work arrangements.
- general: Professional development opportunities.
- general: Employee assistance program.
- general: Wellness programs.
- general: Commuter benefits.
- general: Lunch and snacks provided.
- general: Team-building events.
- general: Opportunity to work on challenging and impactful projects.
- general: Collaborative and supportive work environment.
- general: Opportunity to work with a talented and passionate team.
- general: Make a real difference in a fast-growing company.
Tags & Categories
Answer 10 quick questions to check your fit for Data Science Director, Growth Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.
Related Books and Jobs