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About us
:Airtm is a financial-infrastructure company building the future of the online-work economy.
We are on a mission to empower the world's growing number of Digital Entrepreneurs in the Global South, giving them the financial freedom to thrive.
The problem is clear: in emerging markets, accessing the dollar economy is difficult. Cross-border payments are slow, expensive, and often lose value to inflation.
This limits the potential of millions of talented individuals. Airtm’s solution is a swift and comprehensive financial platform that facilitates low-value cross-border payments and local cash-outs.
As pioneers in stablecoin-payment infrastructure, Airtm has built the most advanced cross-border payment system available on the market.
As a company married to the world of online work, Airtm will go beyond payments to build the necessary infrastructure the online-work economy needs to thrive.
We are fostering an entirely new economy, giving individuals, communities, and countries the tools to take control of their financial destinies. About the role:We're looking for a data-driven, curious, and collaborative Data Scientist to support product and business decision-making through analytics, experimentation, and applied data science.
In this role, you'll work closely with Product, Marketing, and cross-functional stakeholders to define metrics, analyze performance, design experiments, and deliver insights that drive impact across the organization. Key ResponsibilitiesCollaborate with product and business teams to define analytical questions, success metrics, and KPIs. Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics. Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making. Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation. Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses. Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations. Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.
Qualifications
Strong SQL and Python skills for data analysis and modeling. Experience with dbt for analytics engineering workflows. Experience building dashboards in Tableau (or similar BI tools). Solid foundation in statistics, experimentation, and hypothesis testing. Ability to work cross-functionally and communicate insights effectively. Nice to HaveExperience building or prototyping machine learning models. Exposure to cloud platforms (AWS) for data storage or analytics workloads. Experience working with data pipelines or collaborating closely with data engineering teams. Knowledge of feature engineering and model evaluation concepts. Experience with version control (Git).
Data Scientist
JOB SUMMARY
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Job details
About us
:Airtm is a financial-infrastructure company building the future of the online-work economy.
We are on a mission to empower the world's growing number of Digital Entrepreneurs in the Global South, giving them the financial freedom to thrive.
The problem is clear: in emerging markets, accessing the dollar economy is difficult. Cross-border payments are slow, expensive, and often lose value to inflation.
This limits the potential of millions of talented individuals. Airtm’s solution is a swift and comprehensive financial platform that facilitates low-value cross-border payments and local cash-outs.
As pioneers in stablecoin-payment infrastructure, Airtm has built the most advanced cross-border payment system available on the market.
As a company married to the world of online work, Airtm will go beyond payments to build the necessary infrastructure the online-work economy needs to thrive.
We are fostering an entirely new economy, giving individuals, communities, and countries the tools to take control of their financial destinies. About the role:We're looking for a data-driven, curious, and collaborative Data Scientist to support product and business decision-making through analytics, experimentation, and applied data science.
In this role, you'll work closely with Product, Marketing, and cross-functional stakeholders to define metrics, analyze performance, design experiments, and deliver insights that drive impact across the organization. Key ResponsibilitiesCollaborate with product and business teams to define analytical questions, success metrics, and KPIs. Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics. Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making. Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation. Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses. Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations. Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.
Qualifications
Strong SQL and Python skills for data analysis and modeling. Experience with dbt for analytics engineering workflows. Experience building dashboards in Tableau (or similar BI tools). Solid foundation in statistics, experimentation, and hypothesis testing. Ability to work cross-functionally and communicate insights effectively. Nice to HaveExperience building or prototyping machine learning models. Exposure to cloud platforms (AWS) for data storage or analytics workloads. Experience working with data pipelines or collaborating closely with data engineering teams. Knowledge of feature engineering and model evaluation concepts. Experience with version control (Git).
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Airtm Argentina
