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Senior Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!

Airwallex

Senior Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!

full-timePosted: Jan 7, 2026

Job Description

Senior Data Scientist, GTM at Airwallex: Shape the Future of Global Finance

## Role Overview Airwallex is seeking a highly skilled and motivated Senior Data Scientist to join our Go-to-Market (GTM) team. In this role, you will be instrumental in driving revenue growth and improving commercial efficiency by leveraging data science and AI. You will partner closely with Product, Growth, and Commercial teams to identify opportunities, build predictive models, and translate insights into actionable strategies. This is a unique opportunity to make a significant impact on a rapidly growing global fintech company. You will be challenged to solve complex problems, work with cutting-edge technologies, and contribute to the development of a world-class data science organization. ## A Day in the Life As a Senior Data Scientist on the GTM team, your day-to-day activities will be diverse and challenging. Here’s a glimpse of what you can expect: * **Data Exploration and Analysis:** You will spend time exploring large datasets to identify trends, patterns, and anomalies. You'll use SQL, Python, or R to extract, clean, and transform data for analysis. * **Model Building and Deployment:** You will develop and deploy machine learning models to predict customer behavior, optimize marketing campaigns, and improve sales performance. This includes selecting appropriate algorithms, training models, and evaluating their performance. * **Causal Inference:** You'll apply causal inference techniques to understand the impact of various initiatives on key metrics. This will involve designing and analyzing experiments, as well as using observational data to estimate causal effects. * **Communication and Collaboration:** You will communicate your findings to stakeholders across the organization, including product managers, marketers, and sales leaders. You'll work closely with these teams to translate insights into actionable recommendations. * **AI Integration:** You'll design and deploy AI-enabled solutions within the sales and customer lifecycle, aiming to automate tasks, personalize experiences, and improve efficiency. * **Revenue Forecasting:** You'll be responsible for developing and maintaining revenue forecasting models that provide a reliable view of future performance. This will involve incorporating various factors, such as market trends, sales pipeline, and customer retention rates. * **Insight Generation:** Proactively conduct exploratory analyses to uncover hidden revenue opportunities, identify emerging trends, and determine the root causes behind changes in GTM metrics. * **Strategic Impact:** Your work will directly influence strategic decisions related to product development, marketing investments, and sales strategies. ## Why San Francisco? San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex's US headquarters. The city offers a vibrant ecosystem of startups, venture capital firms, and top talent, creating a dynamic and stimulating environment. Being based in San Francisco provides access to cutting-edge research, industry events, and a diverse network of professionals. This location allows Airwallex to attract and retain top data science talent, fostering innovation and growth. ## Career Path Airwallex is committed to providing its employees with opportunities for career growth and development. As a Senior Data Scientist, you can progress along several paths, including: * **Principal Data Scientist:** Lead a team of data scientists and drive strategic initiatives across the organization. * **Data Science Manager:** Manage a team of data scientists and oversee the development of data-driven solutions. * **Technical Lead:** Focus on the technical aspects of data science, such as model development and deployment. * **Subject Matter Expert:** Become a recognized expert in a specific area of data science, such as causal inference or machine learning. Airwallex also supports its employees in pursuing external training and certifications to enhance their skills and knowledge. ## Salary & Benefits Airwallex offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this role in San Francisco is $170,000 to $250,000 per year. In addition to salary, Airwallex provides a comprehensive benefits package, including: * Health, dental, and vision insurance * Generous paid time off policy * Flexible work arrangements * Professional development opportunities * Employee assistance program * Wellness benefits * Commuter benefits * 401(k) with company match * Paid parental leave * Stocked kitchen and snacks * Company-sponsored events and activities ## Airwallex Culture Airwallex is a fast-paced, innovative, and collaborative company. We are looking for individuals who are passionate about solving challenging problems and making a difference in the world. Our culture is based on the following principles: * **Customer-centricity:** We put our customers at the heart of everything we do. * **Innovation:** We are constantly looking for new and better ways to solve problems. * **Collaboration:** We work together as a team to achieve our goals. * **Ownership:** We take responsibility for our actions and results. * **Integrity:** We act with honesty and transparency. We believe in fostering a diverse and inclusive work environment where everyone feels valued and respected. ## How to Apply If you are interested in joining the Airwallex team, please submit your application online through our careers website. Be sure to include your resume and a cover letter highlighting your relevant experience and qualifications. We look forward to hearing from you! ## FAQ **1. What is Airwallex?** Airwallex is the only unified payments and financial platform for global businesses. We empower businesses with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. **2. What does the GTM team do?** The Go-to-Market (GTM) team is responsible for driving revenue growth and improving commercial efficiency. This includes developing and executing marketing campaigns, managing the sales pipeline, and optimizing customer acquisition and retention strategies. **3. What skills are required for this role?** The ideal candidate will have strong skills in data science, machine learning, causal inference, statistical modeling, and revenue forecasting. They should also be proficient in SQL, Python, or R, and have experience with data visualization tools. **4. What is the career path for this role?** As a Senior Data Scientist, you can progress along several paths, including Principal Data Scientist, Data Science Manager, Technical Lead, or Subject Matter Expert. **5. What is the salary range for this role?** The estimated salary range for this role in San Francisco is $170,000 to $250,000 per year. **6. What are the benefits of working at Airwallex?** Airwallex offers a comprehensive benefits package, including health, dental, and vision insurance, generous paid time off, flexible work arrangements, and professional development opportunities. **7. What is the company culture like?** Airwallex is a fast-paced, innovative, and collaborative company. We are looking for individuals who are passionate about solving challenging problems and making a difference in the world. **8. How do I apply for this role?** Please submit your application online through our careers website. Be sure to include your resume and a cover letter highlighting your relevant experience and qualifications. **9. What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager and other team members. **10. What opportunities are there for professional development?** Airwallex is committed to providing its employees with opportunities for professional development, including internal training programs, external conferences, and tuition reimbursement.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

187,000 - 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
  • Machine Learningintermediate
  • Causal Inferenceintermediate
  • Statistical Modelingintermediate
  • Revenue Forecastingintermediate
  • Data Analysisintermediate
  • Go-to-Market (GTM) Strategyintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Problem-solvingintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) (experience)
  • Master's or PhD preferred. (experience)
  • 5+ years of experience in a data science role, preferably with a focus on GTM or commercial analytics. (experience)
  • Strong understanding of statistical modeling techniques, including regression, classification, and time series analysis. (experience)
  • Experience with causal inference methods (e.g., DiD, synthetic control, DoubleML). (experience)
  • Proficiency in SQL and Python or R. (experience)
  • Experience with data visualization tools (e.g., Tableau, Looker). (experience)
  • Excellent communication and presentation skills. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Experience working with cross-functional teams (e.g., Product, Growth, Commercial). (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.
  • Apply 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.
  • Collaborate with engineering teams to build and deploy machine learning models in production.
  • Work closely with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex.
  • Conduct deep dives into data to understand why outcomes change, balancing analytical rigor with speed and business context.
  • Leverage AI to translate insights into scalable models and solid data foundations.
  • Contribute to the development of data science best practices and standards at Airwallex.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off policy.
  • general: Flexible work arrangements.
  • general: Professional development opportunities.
  • general: Employee assistance program.
  • general: Wellness benefits.
  • general: Commuter benefits.
  • general: 401(k) with company match.
  • general: Paid parental leave.
  • general: Stocked kitchen and snacks.
  • general: Company-sponsored events and activities.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to learn and grow with a fast-growing company.

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data sciencego-to-marketgtmmachine learningaiartificial intelligencesan franciscocaliforniafintechsenior levelData ScientistGo-to-MarketGTMRevenue ForecastingMachine LearningCausal InferenceStatistical ModelingData AnalysisSan FranciscoCaliforniaFintechAirwallexCommercial AnalyticsSQLPythonRData VisualizationAIArtificial IntelligencePredictive ModelingCustomer AcquisitionCustomer RetentionSales PerformanceMarketing OptimizationFinancial TechnologyFinTechPaymentsEngineeringProduct

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Airwallex logo

Senior Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!

Airwallex

Senior Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!

full-timePosted: Jan 7, 2026

Job Description

Senior Data Scientist, GTM at Airwallex: Shape the Future of Global Finance

## Role Overview Airwallex is seeking a highly skilled and motivated Senior Data Scientist to join our Go-to-Market (GTM) team. In this role, you will be instrumental in driving revenue growth and improving commercial efficiency by leveraging data science and AI. You will partner closely with Product, Growth, and Commercial teams to identify opportunities, build predictive models, and translate insights into actionable strategies. This is a unique opportunity to make a significant impact on a rapidly growing global fintech company. You will be challenged to solve complex problems, work with cutting-edge technologies, and contribute to the development of a world-class data science organization. ## A Day in the Life As a Senior Data Scientist on the GTM team, your day-to-day activities will be diverse and challenging. Here’s a glimpse of what you can expect: * **Data Exploration and Analysis:** You will spend time exploring large datasets to identify trends, patterns, and anomalies. You'll use SQL, Python, or R to extract, clean, and transform data for analysis. * **Model Building and Deployment:** You will develop and deploy machine learning models to predict customer behavior, optimize marketing campaigns, and improve sales performance. This includes selecting appropriate algorithms, training models, and evaluating their performance. * **Causal Inference:** You'll apply causal inference techniques to understand the impact of various initiatives on key metrics. This will involve designing and analyzing experiments, as well as using observational data to estimate causal effects. * **Communication and Collaboration:** You will communicate your findings to stakeholders across the organization, including product managers, marketers, and sales leaders. You'll work closely with these teams to translate insights into actionable recommendations. * **AI Integration:** You'll design and deploy AI-enabled solutions within the sales and customer lifecycle, aiming to automate tasks, personalize experiences, and improve efficiency. * **Revenue Forecasting:** You'll be responsible for developing and maintaining revenue forecasting models that provide a reliable view of future performance. This will involve incorporating various factors, such as market trends, sales pipeline, and customer retention rates. * **Insight Generation:** Proactively conduct exploratory analyses to uncover hidden revenue opportunities, identify emerging trends, and determine the root causes behind changes in GTM metrics. * **Strategic Impact:** Your work will directly influence strategic decisions related to product development, marketing investments, and sales strategies. ## Why San Francisco? San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex's US headquarters. The city offers a vibrant ecosystem of startups, venture capital firms, and top talent, creating a dynamic and stimulating environment. Being based in San Francisco provides access to cutting-edge research, industry events, and a diverse network of professionals. This location allows Airwallex to attract and retain top data science talent, fostering innovation and growth. ## Career Path Airwallex is committed to providing its employees with opportunities for career growth and development. As a Senior Data Scientist, you can progress along several paths, including: * **Principal Data Scientist:** Lead a team of data scientists and drive strategic initiatives across the organization. * **Data Science Manager:** Manage a team of data scientists and oversee the development of data-driven solutions. * **Technical Lead:** Focus on the technical aspects of data science, such as model development and deployment. * **Subject Matter Expert:** Become a recognized expert in a specific area of data science, such as causal inference or machine learning. Airwallex also supports its employees in pursuing external training and certifications to enhance their skills and knowledge. ## Salary & Benefits Airwallex offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this role in San Francisco is $170,000 to $250,000 per year. In addition to salary, Airwallex provides a comprehensive benefits package, including: * Health, dental, and vision insurance * Generous paid time off policy * Flexible work arrangements * Professional development opportunities * Employee assistance program * Wellness benefits * Commuter benefits * 401(k) with company match * Paid parental leave * Stocked kitchen and snacks * Company-sponsored events and activities ## Airwallex Culture Airwallex is a fast-paced, innovative, and collaborative company. We are looking for individuals who are passionate about solving challenging problems and making a difference in the world. Our culture is based on the following principles: * **Customer-centricity:** We put our customers at the heart of everything we do. * **Innovation:** We are constantly looking for new and better ways to solve problems. * **Collaboration:** We work together as a team to achieve our goals. * **Ownership:** We take responsibility for our actions and results. * **Integrity:** We act with honesty and transparency. We believe in fostering a diverse and inclusive work environment where everyone feels valued and respected. ## How to Apply If you are interested in joining the Airwallex team, please submit your application online through our careers website. Be sure to include your resume and a cover letter highlighting your relevant experience and qualifications. We look forward to hearing from you! ## FAQ **1. What is Airwallex?** Airwallex is the only unified payments and financial platform for global businesses. We empower businesses with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. **2. What does the GTM team do?** The Go-to-Market (GTM) team is responsible for driving revenue growth and improving commercial efficiency. This includes developing and executing marketing campaigns, managing the sales pipeline, and optimizing customer acquisition and retention strategies. **3. What skills are required for this role?** The ideal candidate will have strong skills in data science, machine learning, causal inference, statistical modeling, and revenue forecasting. They should also be proficient in SQL, Python, or R, and have experience with data visualization tools. **4. What is the career path for this role?** As a Senior Data Scientist, you can progress along several paths, including Principal Data Scientist, Data Science Manager, Technical Lead, or Subject Matter Expert. **5. What is the salary range for this role?** The estimated salary range for this role in San Francisco is $170,000 to $250,000 per year. **6. What are the benefits of working at Airwallex?** Airwallex offers a comprehensive benefits package, including health, dental, and vision insurance, generous paid time off, flexible work arrangements, and professional development opportunities. **7. What is the company culture like?** Airwallex is a fast-paced, innovative, and collaborative company. We are looking for individuals who are passionate about solving challenging problems and making a difference in the world. **8. How do I apply for this role?** Please submit your application online through our careers website. Be sure to include your resume and a cover letter highlighting your relevant experience and qualifications. **9. What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager and other team members. **10. What opportunities are there for professional development?** Airwallex is committed to providing its employees with opportunities for professional development, including internal training programs, external conferences, and tuition reimbursement.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

187,000 - 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
  • Machine Learningintermediate
  • Causal Inferenceintermediate
  • Statistical Modelingintermediate
  • Revenue Forecastingintermediate
  • Data Analysisintermediate
  • Go-to-Market (GTM) Strategyintermediate
  • SQLintermediate
  • Pythonintermediate
  • Rintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Problem-solvingintermediate

Required Qualifications

  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) (experience)
  • Master's or PhD preferred. (experience)
  • 5+ years of experience in a data science role, preferably with a focus on GTM or commercial analytics. (experience)
  • Strong understanding of statistical modeling techniques, including regression, classification, and time series analysis. (experience)
  • Experience with causal inference methods (e.g., DiD, synthetic control, DoubleML). (experience)
  • Proficiency in SQL and Python or R. (experience)
  • Experience with data visualization tools (e.g., Tableau, Looker). (experience)
  • Excellent communication and presentation skills. (experience)
  • Ability to translate complex data insights into actionable recommendations. (experience)
  • Experience working with cross-functional teams (e.g., Product, Growth, Commercial). (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.
  • Apply 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.
  • Collaborate with engineering teams to build and deploy machine learning models in production.
  • Work closely with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex.
  • Conduct deep dives into data to understand why outcomes change, balancing analytical rigor with speed and business context.
  • Leverage AI to translate insights into scalable models and solid data foundations.
  • Contribute to the development of data science best practices and standards at Airwallex.

Benefits

  • general: Competitive salary and equity package.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off policy.
  • general: Flexible work arrangements.
  • general: Professional development opportunities.
  • general: Employee assistance program.
  • general: Wellness benefits.
  • general: Commuter benefits.
  • general: 401(k) with company match.
  • general: Paid parental leave.
  • general: Stocked kitchen and snacks.
  • general: Company-sponsored events and activities.
  • general: Opportunity to work on challenging and impactful problems.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to learn and grow with a fast-growing company.

Target Your Resume for "Senior Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now!" , Airwallex

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, GTM Careers at Airwallex - San Francisco, California | 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, GTM Careers at Airwallex - San Francisco, California | 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 sciencego-to-marketgtmmachine learningaiartificial intelligencesan franciscocaliforniafintechsenior levelData ScientistGo-to-MarketGTMRevenue ForecastingMachine LearningCausal InferenceStatistical ModelingData AnalysisSan FranciscoCaliforniaFintechAirwallexCommercial AnalyticsSQLPythonRData VisualizationAIArtificial IntelligencePredictive ModelingCustomer AcquisitionCustomer RetentionSales PerformanceMarketing OptimizationFinancial TechnologyFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, GTM Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.