Data Scientist

About Airtm

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

The Data Analytics team works to deliver different data products to our internal and external customers so that we can improve our internal efficiency with important insights and improve the way we serve our customers.

As a Data Scientist in Airtm, you will work closely with business partners to deliver actionable knowledge to different areas like Marketplace, Commops, Compliance, and Growth. Also, you will need to collaborate with other analysts and engineers to deliver top-quality data products.

What you’ll be responsible for:

• Design, build and maintain data pipelines needed to integrate useful data to keep track of anything related with our business.
• Plan and implement different AB tests to gain valuable insights.
• Prepare ad hoc EDAs, reports, and visualizations.
• Collaborate with other peers to design and build data models in our Data Warehouse , as well as metrics that enable clear business understanding.
• Contribute to grow our analytical culture.

Must haves:

• Engineering, Mathematics, Computer Science, or related background.
• Proficiency with SQL (3+ years), DBT (2+ years), Tableau (+2 years) and Python (3+ years).
• Statistical competence, experience on parametric and non-parametric hypothetical tests, and time series analysis.
• Ability to build machine learning models, deploy and monitor them.
• Strong analytical and communication skills.
• Fluency in English.

Nice to haves:

• Experience using AWS services like Redshift, Lambda, Step Functions, MWAA, and Glue.
• Experience in Fintech and/or marketplace industries.