Airtm

Data Scientist

• 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.

AI Data Scientist