Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!
Airwallex
Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!
Job Description
Data Scientist, Go-To-Market (GTM) at Airwallex - San Francisco, CA
Role Overview
Airwallex is seeking a highly motivated and experienced Data Scientist to join our Go-To-Market (GTM) team. As a Data Scientist, you will play a critical role in driving revenue growth and improving commercial efficiency by leveraging data-driven insights and advanced analytical techniques. You will partner closely with Product, Growth, and Commercial teams to identify opportunities, develop solutions, and measure impact. This is an exciting opportunity to join a fast-growing company and make a significant contribution to our success.
A Day in the Life
On a typical day, you might:
- Analyze large datasets to identify trends, patterns, and opportunities for improvement in GTM strategies.
- Develop and maintain revenue forecasting models to support business planning and decision-making.
- Design and implement A/B tests to optimize marketing campaigns and sales processes.
- Build machine learning models to predict customer behavior and personalize customer experiences.
- Communicate findings and recommendations to stakeholders across the organization.
- Collaborate with engineers to deploy models into production and ensure scalability.
- Research and evaluate new data science techniques and technologies.
- Participate in team meetings and contribute to the development of the data science team.
Why San Francisco?
San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex. The city offers a vibrant ecosystem of startups, established tech companies, and research institutions, providing access to a wealth of talent, resources, and opportunities. San Francisco also boasts a diverse and inclusive culture, making it a great place to live and work.
Career Path
At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Data Scientist, you can advance your career by taking on increasing levels of responsibility, specializing in a particular area of data science, or moving into a leadership role. We offer a variety of training programs and mentorship opportunities to help you achieve your career goals.
Salary & Benefits
Airwallex offers a competitive salary and benefits package, including:
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Generous paid time off policy
- Paid parental leave
- 401(k) with company match
- Professional development budget
- Employee assistance program
- Commuter benefits
- Wellness programs
- Company-sponsored events and activities
- Flexible work arrangements
Airwallex Culture
Airwallex is a fast-paced, innovative, and collaborative company. We are passionate about building the future of global finance and are committed to creating a positive and inclusive work environment. We value diversity, teamwork, and a growth mindset.
How to Apply
To apply for this position, please submit your resume and cover letter through our online application portal. We encourage you to highlight your relevant experience, skills, and accomplishments in your application.
FAQ
- What is Airwallex?
Airwallex is a global payments and financial platform for modern businesses. We help businesses of all sizes operate globally without borders.
- What are the key responsibilities of this role?
The key responsibilities include data analysis, model building, revenue forecasting, and communication of findings to stakeholders.
- What qualifications are required for this role?
A Bachelor's degree in a quantitative field and 5+ years of experience in data science are required. A Master's or Ph.D. is preferred.
- What skills are important for success in this role?
Strong analytical, problem-solving, and communication skills are essential. Proficiency in SQL and Python or R is also required.
- What is the interview process like?
The interview process typically includes a phone screening, a technical interview, and an interview with the hiring manager.
- What is the company culture like?
Airwallex has a fast-paced, innovative, and collaborative culture.
- What are the opportunities for growth at Airwallex?
Airwallex offers a variety of opportunities for growth and development.
- What is the work-life balance like at Airwallex?
Airwallex offers flexible work arrangements to support work-life balance.
- What is the dress code at Airwallex?
Airwallex has a casual dress code.
- What is the company's policy on remote work?
Airwallex offers some remote work options, depending on the role.
Locations
- San Francisco, California, United States
Salary
176,000 - 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
- Data Scienceintermediate
- GTM Strategyintermediate
- Revenue Forecastingintermediate
- Causal Inferenceintermediate
- Statistical Modelingintermediate
- Machine Learningintermediate
- AI-enabled Solutionsintermediate
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Data Visualizationintermediate
- Experimental Designintermediate
- A/B Testingintermediate
- Stakeholder Managementintermediate
- Communicationintermediate
- Problem-solvingintermediate
- Data Analysisintermediate
- Predictive Modelingintermediate
- Data Miningintermediate
Required Qualifications
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) (experience)
- Master's or Ph.D. preferred. (experience)
- 5+ years of experience in a data science role, preferably with a focus on Go-To-Market (GTM) or commercial analytics (experience)
- Strong understanding of statistical modeling techniques (e.g., regression, classification, time series analysis) (experience)
- Proficiency in SQL and at least one scripting language (Python or R) (experience)
- Experience with causal inference methods (e.g., DiD, synthetic control, DoubleML) (experience)
- Experience building and deploying machine learning models (experience)
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences (experience)
- Strong problem-solving skills and the ability to work independently (experience)
- Experience working with large datasets and cloud-based data platforms (e.g., AWS, Google Cloud, Azure) (experience)
- Experience in revenue forecasting and performance analysis (experience)
- Experience with A/B testing and experimental design (experience)
- Strong understanding of GTM strategies and commercial metrics (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—and operationalize these 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), providing a reliable “source of truth” that helps teams make faster, better commercial decisions.
- Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible.
- Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing lead scoring, optimizing pricing, personalizing customer experiences, and improving sales efficiency.
- Collaborate closely with Product, Growth, and Commercial teams to understand business needs and translate them into data science solutions.
- Build and maintain data pipelines and infrastructure to support data science initiatives.
- Develop and implement machine learning models for various GTM applications.
- Conduct A/B tests and analyze results to optimize GTM strategies.
- Monitor model performance and identify areas for improvement.
- Stay up-to-date with the latest advances in data science and AI.
- Mentor junior data scientists and contribute to the development of the data science team.
- Present findings and recommendations to stakeholders at all levels of the organization.
- Work with engineering to deploy models in production and ensure scalability.
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: 401(k) with company match
- general: Professional development budget
- general: Employee assistance program
- general: Commuter benefits
- general: Wellness programs
- general: Company-sponsored events and activities
- general: Flexible work arrangements
- general: Opportunity to work on challenging and impactful projects
- general: Collaborative and supportive work environment
- general: Opportunity to learn and grow your career at a fast-growing company
- general: Free lunch and snacks
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.
Related Books and Jobs
Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!
Airwallex
Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!
Job Description
Data Scientist, Go-To-Market (GTM) at Airwallex - San Francisco, CA
Role Overview
Airwallex is seeking a highly motivated and experienced Data Scientist to join our Go-To-Market (GTM) team. As a Data Scientist, you will play a critical role in driving revenue growth and improving commercial efficiency by leveraging data-driven insights and advanced analytical techniques. You will partner closely with Product, Growth, and Commercial teams to identify opportunities, develop solutions, and measure impact. This is an exciting opportunity to join a fast-growing company and make a significant contribution to our success.
A Day in the Life
On a typical day, you might:
- Analyze large datasets to identify trends, patterns, and opportunities for improvement in GTM strategies.
- Develop and maintain revenue forecasting models to support business planning and decision-making.
- Design and implement A/B tests to optimize marketing campaigns and sales processes.
- Build machine learning models to predict customer behavior and personalize customer experiences.
- Communicate findings and recommendations to stakeholders across the organization.
- Collaborate with engineers to deploy models into production and ensure scalability.
- Research and evaluate new data science techniques and technologies.
- Participate in team meetings and contribute to the development of the data science team.
Why San Francisco?
San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex. The city offers a vibrant ecosystem of startups, established tech companies, and research institutions, providing access to a wealth of talent, resources, and opportunities. San Francisco also boasts a diverse and inclusive culture, making it a great place to live and work.
Career Path
At Airwallex, we are committed to providing our employees with opportunities for growth and development. As a Data Scientist, you can advance your career by taking on increasing levels of responsibility, specializing in a particular area of data science, or moving into a leadership role. We offer a variety of training programs and mentorship opportunities to help you achieve your career goals.
Salary & Benefits
Airwallex offers a competitive salary and benefits package, including:
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Generous paid time off policy
- Paid parental leave
- 401(k) with company match
- Professional development budget
- Employee assistance program
- Commuter benefits
- Wellness programs
- Company-sponsored events and activities
- Flexible work arrangements
Airwallex Culture
Airwallex is a fast-paced, innovative, and collaborative company. We are passionate about building the future of global finance and are committed to creating a positive and inclusive work environment. We value diversity, teamwork, and a growth mindset.
How to Apply
To apply for this position, please submit your resume and cover letter through our online application portal. We encourage you to highlight your relevant experience, skills, and accomplishments in your application.
FAQ
- What is Airwallex?
Airwallex is a global payments and financial platform for modern businesses. We help businesses of all sizes operate globally without borders.
- What are the key responsibilities of this role?
The key responsibilities include data analysis, model building, revenue forecasting, and communication of findings to stakeholders.
- What qualifications are required for this role?
A Bachelor's degree in a quantitative field and 5+ years of experience in data science are required. A Master's or Ph.D. is preferred.
- What skills are important for success in this role?
Strong analytical, problem-solving, and communication skills are essential. Proficiency in SQL and Python or R is also required.
- What is the interview process like?
The interview process typically includes a phone screening, a technical interview, and an interview with the hiring manager.
- What is the company culture like?
Airwallex has a fast-paced, innovative, and collaborative culture.
- What are the opportunities for growth at Airwallex?
Airwallex offers a variety of opportunities for growth and development.
- What is the work-life balance like at Airwallex?
Airwallex offers flexible work arrangements to support work-life balance.
- What is the dress code at Airwallex?
Airwallex has a casual dress code.
- What is the company's policy on remote work?
Airwallex offers some remote work options, depending on the role.
Locations
- San Francisco, California, United States
Salary
176,000 - 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
- Data Scienceintermediate
- GTM Strategyintermediate
- Revenue Forecastingintermediate
- Causal Inferenceintermediate
- Statistical Modelingintermediate
- Machine Learningintermediate
- AI-enabled Solutionsintermediate
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Data Visualizationintermediate
- Experimental Designintermediate
- A/B Testingintermediate
- Stakeholder Managementintermediate
- Communicationintermediate
- Problem-solvingintermediate
- Data Analysisintermediate
- Predictive Modelingintermediate
- Data Miningintermediate
Required Qualifications
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) (experience)
- Master's or Ph.D. preferred. (experience)
- 5+ years of experience in a data science role, preferably with a focus on Go-To-Market (GTM) or commercial analytics (experience)
- Strong understanding of statistical modeling techniques (e.g., regression, classification, time series analysis) (experience)
- Proficiency in SQL and at least one scripting language (Python or R) (experience)
- Experience with causal inference methods (e.g., DiD, synthetic control, DoubleML) (experience)
- Experience building and deploying machine learning models (experience)
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences (experience)
- Strong problem-solving skills and the ability to work independently (experience)
- Experience working with large datasets and cloud-based data platforms (e.g., AWS, Google Cloud, Azure) (experience)
- Experience in revenue forecasting and performance analysis (experience)
- Experience with A/B testing and experimental design (experience)
- Strong understanding of GTM strategies and commercial metrics (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—and operationalize these 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), providing a reliable “source of truth” that helps teams make faster, better commercial decisions.
- Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible.
- Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing lead scoring, optimizing pricing, personalizing customer experiences, and improving sales efficiency.
- Collaborate closely with Product, Growth, and Commercial teams to understand business needs and translate them into data science solutions.
- Build and maintain data pipelines and infrastructure to support data science initiatives.
- Develop and implement machine learning models for various GTM applications.
- Conduct A/B tests and analyze results to optimize GTM strategies.
- Monitor model performance and identify areas for improvement.
- Stay up-to-date with the latest advances in data science and AI.
- Mentor junior data scientists and contribute to the development of the data science team.
- Present findings and recommendations to stakeholders at all levels of the organization.
- Work with engineering to deploy models in production and ensure scalability.
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: 401(k) with company match
- general: Professional development budget
- general: Employee assistance program
- general: Commuter benefits
- general: Wellness programs
- general: Company-sponsored events and activities
- general: Flexible work arrangements
- general: Opportunity to work on challenging and impactful projects
- general: Collaborative and supportive work environment
- general: Opportunity to learn and grow your career at a fast-growing company
- general: Free lunch and snacks
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.
Related Books and Jobs