Staff Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!
Airwallex
Staff Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!
Job Description
Staff Data Scientist, Revenue - Airwallex
Role Overview
As a Staff Data Scientist in the Revenue team at Airwallex, you will be at the forefront of driving commercial growth and efficiency through data-driven insights. You will work closely with Product, Growth, and Commercial teams to develop and implement advanced data science solutions that address key Go-To-Market (GTM) challenges. This role demands a proactive individual who can translate complex data into actionable strategies, build robust forecasting models, and leverage causal inference methods to optimize revenue-generating initiatives. Your work will directly impact Airwallex’s bottom line, making this a high-visibility and impactful position.
A Day in the Life
Here’s a glimpse into what your day might look like:
- Morning: Start your day by reviewing key GTM performance metrics, such as pipeline health, conversion rates, and customer retention. Identify any significant shifts or anomalies that require further investigation.
- Mid-Morning: Collaborate with the Growth team to understand the results of recent A/B tests on marketing campaigns. Analyze the data to determine the effectiveness of different strategies and provide recommendations for optimization.
- Lunch: Grab lunch with your team and discuss ongoing projects, challenges, and new ideas. This is a great opportunity to share knowledge and learn from your colleagues.
- Afternoon: Work on building a revenue forecasting model using time series analysis techniques. Incorporate various factors, such as seasonality, market trends, and sales performance, to generate accurate predictions.
- Late Afternoon: Meet with the Commercial team to present your findings from a recent analysis on customer churn. Provide insights into the key drivers of churn and suggest strategies to improve customer retention.
- Evening: Wrap up your day by documenting your work, updating your project plan, and preparing for the next day’s tasks.
Why Singapore?
Singapore is a vibrant hub for technology and finance, making it an ideal location for a Data Scientist at Airwallex. The city-state boasts a thriving ecosystem of startups and established companies, offering numerous opportunities for professional growth and networking. Singapore's strategic location in Southeast Asia also provides access to a diverse range of markets and customers, making it a key hub for Airwallex's global operations. Furthermore, Singapore offers a high quality of life, with excellent infrastructure, healthcare, and education systems.
Career Path
At Airwallex, we are committed to the growth and development of our employees. As a Staff Data Scientist, Revenue, you will have ample opportunities to advance your career. Potential career paths include:
- Senior Data Scientist: Take on more complex projects and mentor junior data scientists.
- Data Science Manager: Lead a team of data scientists and oversee the development of data-driven solutions.
- Principal Data Scientist: Become a subject matter expert and provide technical leadership on key initiatives.
- Director of Data Science: Lead a larger data science organization and drive the overall data strategy for the company.
Salary & Benefits
Airwallex offers a competitive salary and benefits package, commensurate with experience and qualifications. While the exact salary is not disclosed, a competitive market range for this role in Singapore is estimated to be between $150,000 and $250,000 USD annually. In addition to salary, Airwallex provides a comprehensive benefits package, including:
- Comprehensive health insurance
- Generous paid time off
- Professional development opportunities
- Flexible work arrangements
- Employee assistance program
- Wellness programs
- Company-sponsored events and activities
- Stock options
- Performance-based bonus
Airwallex Culture
Airwallex is a fast-paced, innovative company with a strong focus on teamwork and collaboration. We value individuals who are passionate about solving complex problems and making a real impact on the business. We foster a culture of learning and development, providing our employees with the resources and support they need to succeed. Our operating principles guide our actions and decisions, ensuring that we are always working towards our mission of building the global financial infrastructure of the future.
How to Apply
If you are a talented and driven Data Scientist with a passion for revenue optimization, we encourage you to apply for the Staff Data Scientist, Revenue position at Airwallex. To apply, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience, skills, and qualifications. We look forward to hearing from you!
Frequently Asked Questions (FAQ)
- What is Airwallex?
Airwallex is a global payments and financial platform for modern businesses. We help businesses operate globally without borders, empowering them to grow without limits.
- What does the Revenue team do?
The Revenue team is responsible for driving growth and maximizing revenue through data-driven strategies and initiatives.
- What skills are important for this role?
Strong analytical skills, proficiency in SQL and Python, experience with causal inference methods, and excellent communication skills are essential for this role.
- What is the career path for this role?
Potential career paths include Senior Data Scientist, Data Science Manager, Principal Data Scientist, and Director of Data Science.
- What is the company culture like?
Airwallex has a fast-paced, innovative culture with a strong focus on teamwork and collaboration.
- What are the benefits of working at Airwallex?
Airwallex offers a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities.
- What is the interview process like?
The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager.
- What is the work-life balance like?
Airwallex strives to provide a healthy work-life balance for its employees, offering flexible work arrangements and generous paid time off.
- What opportunities are there for professional development?
Airwallex offers numerous opportunities for professional development, including training programs, conferences, and mentorship opportunities.
- What are the company's values?
Airwallex values innovation, collaboration, customer focus, and a commitment to excellence.
Locations
- Singapore, Singapore
Salary
165,000 - 275,000 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
- Data Modelingintermediate
- Statistical Analysisintermediate
- Causal Inferenceintermediate
- Revenue Forecastingintermediate
- Performance Insightsintermediate
- GTM Strategyintermediate
- Data Pipelinesintermediate
- SQLintermediate
- Pythonintermediate
- Machine Learningintermediate
- A/B Testingintermediate
- Experimentationintermediate
- Data Visualizationintermediate
- Communication Skillsintermediate
- Stakeholder Managementintermediate
- Problem-Solvingintermediate
- Critical Thinkingintermediate
- Business Acumenintermediate
- AI Applicationintermediate
- Data Analysisintermediate
Required Qualifications
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science). (experience)
- 5+ years of experience in a data science role, preferably with a focus on revenue or GTM. (experience)
- Strong understanding of statistical modeling techniques, including regression, classification, and time series analysis. (experience)
- Proficiency in SQL and Python (or R) for data manipulation and analysis. (experience)
- Experience with causal inference methods (e.g., DiD, synthetic control). (experience)
- Experience building and deploying machine learning models. (experience)
- Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences. (experience)
- Experience working with large datasets and cloud-based data platforms. (experience)
- Strong problem-solving and critical-thinking skills. (experience)
- Ability to work independently and as part of a team. (experience)
- Experience in a fast-paced, high-growth environment. (experience)
- Experience with A/B testing and experimentation. (experience)
- Familiarity with revenue forecasting methodologies. (experience)
Responsibilities
- Translate complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences.
- Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics.
- Operationalize learnings into repeatable workflows, automated pipelines, and scalable data science operating models.
- Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning).
- Provide a reliable “source of truth” that helps teams make faster, better commercial decisions.
- Use advanced observational causal inference methods (e.g., DiD, synthetic control) to isolate the impact of specific initiatives and investments.
- Design and execute experiments to test hypotheses and optimize GTM strategies.
- Build and maintain data pipelines to ensure data quality and accessibility.
- Collaborate with product, growth, and commercial teams to identify opportunities to leverage data science to improve business outcomes.
- Stay up-to-date on the latest trends in data science and machine learning.
- Mentor and coach junior data scientists.
- Contribute to the development of the data science team's culture and best practices.
- Apply AI to improve workflows and create efficiencies.
- Create and maintain documentation for data science projects.
- Present findings and recommendations to stakeholders at all levels of the organization.
Benefits
- general: Competitive salary and equity.
- general: Comprehensive health insurance.
- general: Generous paid time off.
- general: Professional development opportunities.
- general: Opportunity to work on challenging and impactful problems.
- general: Collaborative and supportive work environment.
- general: Opportunity to work with cutting-edge technology.
- general: Flexible work arrangements.
- general: Employee assistance program.
- general: Wellness programs.
- general: Company-sponsored events and activities.
- general: Commuter benefits.
- general: Relocation assistance (if applicable).
- general: Visa sponsorship (if applicable).
- general: Parental leave.
- general: Stock options
- general: Performance based bonus
Tags & Categories
Answer 10 quick questions to check your fit for Staff Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now! @ Airwallex.
Related Books and Jobs
Staff Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!
Airwallex
Staff Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now!
Job Description
Staff Data Scientist, Revenue - Airwallex
Role Overview
As a Staff Data Scientist in the Revenue team at Airwallex, you will be at the forefront of driving commercial growth and efficiency through data-driven insights. You will work closely with Product, Growth, and Commercial teams to develop and implement advanced data science solutions that address key Go-To-Market (GTM) challenges. This role demands a proactive individual who can translate complex data into actionable strategies, build robust forecasting models, and leverage causal inference methods to optimize revenue-generating initiatives. Your work will directly impact Airwallex’s bottom line, making this a high-visibility and impactful position.
A Day in the Life
Here’s a glimpse into what your day might look like:
- Morning: Start your day by reviewing key GTM performance metrics, such as pipeline health, conversion rates, and customer retention. Identify any significant shifts or anomalies that require further investigation.
- Mid-Morning: Collaborate with the Growth team to understand the results of recent A/B tests on marketing campaigns. Analyze the data to determine the effectiveness of different strategies and provide recommendations for optimization.
- Lunch: Grab lunch with your team and discuss ongoing projects, challenges, and new ideas. This is a great opportunity to share knowledge and learn from your colleagues.
- Afternoon: Work on building a revenue forecasting model using time series analysis techniques. Incorporate various factors, such as seasonality, market trends, and sales performance, to generate accurate predictions.
- Late Afternoon: Meet with the Commercial team to present your findings from a recent analysis on customer churn. Provide insights into the key drivers of churn and suggest strategies to improve customer retention.
- Evening: Wrap up your day by documenting your work, updating your project plan, and preparing for the next day’s tasks.
Why Singapore?
Singapore is a vibrant hub for technology and finance, making it an ideal location for a Data Scientist at Airwallex. The city-state boasts a thriving ecosystem of startups and established companies, offering numerous opportunities for professional growth and networking. Singapore's strategic location in Southeast Asia also provides access to a diverse range of markets and customers, making it a key hub for Airwallex's global operations. Furthermore, Singapore offers a high quality of life, with excellent infrastructure, healthcare, and education systems.
Career Path
At Airwallex, we are committed to the growth and development of our employees. As a Staff Data Scientist, Revenue, you will have ample opportunities to advance your career. Potential career paths include:
- Senior Data Scientist: Take on more complex projects and mentor junior data scientists.
- Data Science Manager: Lead a team of data scientists and oversee the development of data-driven solutions.
- Principal Data Scientist: Become a subject matter expert and provide technical leadership on key initiatives.
- Director of Data Science: Lead a larger data science organization and drive the overall data strategy for the company.
Salary & Benefits
Airwallex offers a competitive salary and benefits package, commensurate with experience and qualifications. While the exact salary is not disclosed, a competitive market range for this role in Singapore is estimated to be between $150,000 and $250,000 USD annually. In addition to salary, Airwallex provides a comprehensive benefits package, including:
- Comprehensive health insurance
- Generous paid time off
- Professional development opportunities
- Flexible work arrangements
- Employee assistance program
- Wellness programs
- Company-sponsored events and activities
- Stock options
- Performance-based bonus
Airwallex Culture
Airwallex is a fast-paced, innovative company with a strong focus on teamwork and collaboration. We value individuals who are passionate about solving complex problems and making a real impact on the business. We foster a culture of learning and development, providing our employees with the resources and support they need to succeed. Our operating principles guide our actions and decisions, ensuring that we are always working towards our mission of building the global financial infrastructure of the future.
How to Apply
If you are a talented and driven Data Scientist with a passion for revenue optimization, we encourage you to apply for the Staff Data Scientist, Revenue position at Airwallex. To apply, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience, skills, and qualifications. We look forward to hearing from you!
Frequently Asked Questions (FAQ)
- What is Airwallex?
Airwallex is a global payments and financial platform for modern businesses. We help businesses operate globally without borders, empowering them to grow without limits.
- What does the Revenue team do?
The Revenue team is responsible for driving growth and maximizing revenue through data-driven strategies and initiatives.
- What skills are important for this role?
Strong analytical skills, proficiency in SQL and Python, experience with causal inference methods, and excellent communication skills are essential for this role.
- What is the career path for this role?
Potential career paths include Senior Data Scientist, Data Science Manager, Principal Data Scientist, and Director of Data Science.
- What is the company culture like?
Airwallex has a fast-paced, innovative culture with a strong focus on teamwork and collaboration.
- What are the benefits of working at Airwallex?
Airwallex offers a competitive salary and benefits package, including health insurance, paid time off, and professional development opportunities.
- What is the interview process like?
The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager.
- What is the work-life balance like?
Airwallex strives to provide a healthy work-life balance for its employees, offering flexible work arrangements and generous paid time off.
- What opportunities are there for professional development?
Airwallex offers numerous opportunities for professional development, including training programs, conferences, and mentorship opportunities.
- What are the company's values?
Airwallex values innovation, collaboration, customer focus, and a commitment to excellence.
Locations
- Singapore, Singapore
Salary
165,000 - 275,000 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
- Data Modelingintermediate
- Statistical Analysisintermediate
- Causal Inferenceintermediate
- Revenue Forecastingintermediate
- Performance Insightsintermediate
- GTM Strategyintermediate
- Data Pipelinesintermediate
- SQLintermediate
- Pythonintermediate
- Machine Learningintermediate
- A/B Testingintermediate
- Experimentationintermediate
- Data Visualizationintermediate
- Communication Skillsintermediate
- Stakeholder Managementintermediate
- Problem-Solvingintermediate
- Critical Thinkingintermediate
- Business Acumenintermediate
- AI Applicationintermediate
- Data Analysisintermediate
Required Qualifications
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science). (experience)
- 5+ years of experience in a data science role, preferably with a focus on revenue or GTM. (experience)
- Strong understanding of statistical modeling techniques, including regression, classification, and time series analysis. (experience)
- Proficiency in SQL and Python (or R) for data manipulation and analysis. (experience)
- Experience with causal inference methods (e.g., DiD, synthetic control). (experience)
- Experience building and deploying machine learning models. (experience)
- Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences. (experience)
- Experience working with large datasets and cloud-based data platforms. (experience)
- Strong problem-solving and critical-thinking skills. (experience)
- Ability to work independently and as part of a team. (experience)
- Experience in a fast-paced, high-growth environment. (experience)
- Experience with A/B testing and experimentation. (experience)
- Familiarity with revenue forecasting methodologies. (experience)
Responsibilities
- Translate complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences.
- Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics.
- Operationalize learnings into repeatable workflows, automated pipelines, and scalable data science operating models.
- Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning).
- Provide a reliable “source of truth” that helps teams make faster, better commercial decisions.
- Use advanced observational causal inference methods (e.g., DiD, synthetic control) to isolate the impact of specific initiatives and investments.
- Design and execute experiments to test hypotheses and optimize GTM strategies.
- Build and maintain data pipelines to ensure data quality and accessibility.
- Collaborate with product, growth, and commercial teams to identify opportunities to leverage data science to improve business outcomes.
- Stay up-to-date on the latest trends in data science and machine learning.
- Mentor and coach junior data scientists.
- Contribute to the development of the data science team's culture and best practices.
- Apply AI to improve workflows and create efficiencies.
- Create and maintain documentation for data science projects.
- Present findings and recommendations to stakeholders at all levels of the organization.
Benefits
- general: Competitive salary and equity.
- general: Comprehensive health insurance.
- general: Generous paid time off.
- general: Professional development opportunities.
- general: Opportunity to work on challenging and impactful problems.
- general: Collaborative and supportive work environment.
- general: Opportunity to work with cutting-edge technology.
- general: Flexible work arrangements.
- general: Employee assistance program.
- general: Wellness programs.
- general: Company-sponsored events and activities.
- general: Commuter benefits.
- general: Relocation assistance (if applicable).
- general: Visa sponsorship (if applicable).
- general: Parental leave.
- general: Stock options
- general: Performance based bonus
Tags & Categories
Answer 10 quick questions to check your fit for Staff Data Scientist, Revenue Careers at Airwallex - Singapore | Apply Now! @ Airwallex.
Related Books and Jobs