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AI Data Scientist at Airtm. Location Information: . 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. 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.. . Key Responsibilities. . - Design and deploy AI agent workflows to automate recurring analytical tasks, data summarization, and insight generation pipelines.. - Evaluate and integrate LLM-based tools into the data team's workflow, assessing their reliability, accuracy, and fitness for analytical use cases.. - . Collaborate 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. . -2 to 5 Years of experience in Similar roles. -Hands-on experience with AI agent frameworks (e.g., LangChain, LlamaIndex, CrewAI, or similar) and demonstrated ability to build and deploy agentic systems in a production or near-production context.. - Proven experience with prompt engineering and evaluating LLM outputs for data-related tasks such as automated reporting, anomaly narration, or natural language querying.. - Experience orchestrating multi-step AI pipelines that combine LLMs with structured data sources, APIs, or internal tooling.. . - 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 Have. . - Exposure to cloud platforms (AWS) for data storage or analytics workloads. . . - Knowledge of feature engineering and model evaluation concepts. . . - Experience with version control (Git)..