AI Data Scientist

About the role

Airtm is seeking a data-driven Data Scientist to support product and business decision-making through analytics, experimentation, and applied data science. The role involves defining metrics, generating insights, and managing the end-to-end data infrastructure lifecycle. Additionally, the successful candidate will design and deploy AI-powered agentic workflows to automate analysis, maintenance, and modeling tasks.

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 perform weekly maintenance of Tableau dashboards to bring metrics to life, ensuring data accuracy and platform stability for 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.

Required skills

• AI agent frameworks
• LangChain
• LlamaIndex
• CrewAI
• Prompt engineering
• SQL
• Python
• dbt
• Tableau
• Statistics
• Experimentation
• Hypothesis testing

Nice to have

• AWS
• Feature engineering
• Model evaluation
• Git

Qualifications

• 5+ Years of experience in Similar roles

About the Company

Airtm is a financial-infrastructure company building the future of the online-work economy. As pioneers in stablecoin-payment infrastructure, they provide a platform that facilitates low-value cross-border payments and local cash-outs.