About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team We're looking for talented Data Scientist who can push the boundaries of our existing models and help design state-of-the-art solutions to GTM challenges that accelerate revenue growth and improve commercial efficiency. In this role, you'll partner closely with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex. This role is ideal for someone who takes meaningful ownership from day one-someone who digs deeply into data to understand why outcomes change (not just what changed), balancing analytical rigor with speed and business context-and then leverages AI to translate those insights into scalable models and solid data foundations. Learn more about the data science team in this blog. This role is based in Singapore. Responsibilities: - Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences. - Uncover and scale revenue insights: 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. - Build revenue forecasting and performance insights: 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. - Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible. - Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle-enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - 7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline). - Strong analytical intuition and structured problem-solving-you ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions. - Excellent communicator and storyteller-able to translate technical work into crisp, actionable recommendations for both technical and non-technical stakeholders, including executives. - Deep curiosity about GTM performance and customer behavior-you go beyond "what happened" to understand "why it happened," while staying pragmatic and focused on impact. - Strong foundations in causal inference and forecasting, with experience applying methods such as DiD, synthetic control, and modern ML-based approaches to real business problems. - High fluency in analytics tooling-strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation. Preferred qualifications: - Experience with Databricks or similar cloud data platforms / warehouses. - Familiarity with Hex or other notebook-based analysis tools. - Experience in a high-growth startup and/or B2B business models (e.g., pipeline, CRM, RevOps data). #singapore #sydney #melbourne #london Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Role Description En el equipo de BI & Analytics de Flow, estamos sumando un/a Sr Data Analyst. Este rol será clave para impulsar una cultura Data Driven en Flow, optimizando la experiencia de entretenimiento, mejorando métricas de consumo y engagement, y garantizando la calidad de reproducción. Buscamos profesionales que transformen datos en insights accionables, diseñen soluciones analíticas y acompañen la toma de decisiones estratégicas del negocio. - Relevar y traducir las necesidades del negocio en requerimientos concretos, generando iniciativas analíticas que aporten valor real. - Ser el referente de datos para los equipos de Catálogo, Contenido y Playback, acompañando la evolución hacia decisiones basadas en información. - Analizar el consumo de contenidos, la navegación en el catálogo y el uso del player en distintos dispositivos para mejorar la calidad de reproducción y el engagement. - Crear dashboards y reportes que faciliten la interpretación de métricas clave y permitan actuar rápidamente. - Armar y monitorear métricas de producto: navegación HOME y secciones, conversión de contenido recomendado, ratio de éxito de reproducción e interrupciones. - Identificar oportunidades para automatizar reportes y flujos de datos, asegurando eficiencia y escalabilidad. Qualifications - Experiencia en análisis de datos, manejo avanzado de SQL y Python, y uso de herramientas de visualización como Looker, Tableau o Power BI. - Capacidad para interpretar datos complejos y transformarlos en insights claros para diferentes audiencias. - Habilidad para integrarse en equipos multidisciplinarios, adaptarse a cambios y aportar soluciones rápidas. - Experiencia en métricas de producto digital (idealmente streaming), segmentación de usuarios, tecnologías cloud (BigQuery, Redshift, Snowflake) y herramientas de automatización (Airflow, dbt). - Formación académica, preferentemente en Ingeniería en Sistemas, Ciencias Exactas, Económicas o carreras afines. Benefits - Modalidades de trabajo flexible. - Bono por performance. - Una semana extra de vacaciones. - Descuentos y bonificaciones exclusivas en nuestras marcas Personal y Flow (internet, conectividad móvil y entretenimiento) para vos y tu familia. - Prepaga para vos y tu grupo familiar a cargo. - Acceso libre a la plataforma digital de contenidos de aprendizaje. - Bonificaciones especiales en universidades de primer nivel. - Programa de referidos con reconocimiento económico. - ¡Y mucho más!

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team We're looking for talented Data Scientist who can push the boundaries of our existing models and help design state-of-the-art solutions to GTM challenges that accelerate revenue growth and improve commercial efficiency. In this role, you'll partner closely with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex. This role is ideal for someone who takes meaningful ownership from day one-someone who digs deeply into data to understand why outcomes change (not just what changed), balancing analytical rigor with speed and business context-and then leverages AI to translate those insights into scalable models and solid data foundations. Learn more about the data science team in this blog. This role is based in Singapore. Responsibilities: - Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences. - Uncover and scale revenue insights: 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. - Build revenue forecasting and performance insights: 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. - Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible. - Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle-enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - 7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline). - Strong analytical intuition and structured problem-solving-you ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions. - Excellent communicator and storyteller-able to translate technical work into crisp, actionable recommendations for both technical and non-technical stakeholders, including executives. - Deep curiosity about GTM performance and customer behavior-you go beyond "what happened" to understand "why it happened," while staying pragmatic and focused on impact. - Strong foundations in causal inference and forecasting, with experience applying methods such as DiD, synthetic control, and modern ML-based approaches to real business problems. - High fluency in analytics tooling-strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation. Preferred qualifications: - Experience with Databricks or similar cloud data platforms / warehouses. - Familiarity with Hex or other notebook-based analysis tools. - Experience in a high-growth startup and/or B2B business models (e.g., pipeline, CRM, RevOps data). #singapore #sydney #melbourne #london Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Role DescriptionWe're looking for a Senior Data Scientist to partner with Marketing, Brand, Product and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of marketing measurement methods (eg. causal inference, attribution, MMM) and strong technical fluency in scripting (Python/R) and querying (SQL). Responsibilities - Evaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling), MTA(Multi touch attribution) and incrementality testing - Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments - Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights - Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes - Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. - Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets - Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments - Translate complex concepts into implications for the business via excellent communication skills, both verbal and written - Understand what matters most and prioritize ruthlessly - Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 7+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting - Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction - Significant experience with SQL and large unstructured datasets such as Hadoop - Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees - Solid background in running multivariate experiments to optimize a product or revenue flow - Strong verbal and written communication skills - Proficiency in programming/scripting and knowledge of statistical packages like R or Python Preferred Qualifications - Experience in using open source packages for incrementality tests(e.g. Meta’s Geolift, Google’s Causal Impact) and MMM (Google’s Meridian, Lightweight MMM or Meta’s Robyn) - Master's or Ph.D. Degree in a quantitative field - Experience with predictive modeling, machine learning, and experimentation/causal inference methods. - Experience using AI coding assistants (e.g., Claude Code, GPT Codex, Copilot, or similar tools) Compensation Canada Pay Range $162,400—$219,600 CAD