<h3>About us:</h3><div><a href="https://himalayas.app/companies/airtm">Airtm</a> 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.</div><div>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.</div><div><a href="https://himalayas.app/companies/airtm">Airtm</a>’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, <a href="https://himalayas.app/companies/airtm">Airtm</a> has built the most advanced cross-border payment system available on the market.</div><div>As a company married to the world of online work, <a href="https://himalayas.app/companies/airtm">Airtm</a> 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. </div><h3>About the role:</h3><div>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. As AI capabilities reshape how data teams operate, you'll play an active role in designing and deploying AI-powered agentic workflows that automate analysis, surface insights, and augment how the team operates at scale.</div><h3>Key Responsibilities</h3><ul><li>Design and deploy AI agent workflows to automate recurring analytical tasks, data summarization, and insight generation pipelines.<br>- Evaluate and integrate LLM-based tools into the data team's workflow, assessing their reliability, accuracy, and fitness for analytical use cases.<br>- Collaborate with product and business teams to define analytical questions, success metrics, and KPIs.</li> <li>Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics. </li> <li>Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making. </li> <li>Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation. </li> <li>Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses. </li> <li>Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations. </li> <li>Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.</li> </ul><h3>Qualifications</h3><ul><li>2 to 5 Years of experienc