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Airtm

AI Data Scientist

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Description

You will support product and business decisions through analytics, experimentation, and applied data science. You will design AI-powered agent workflows, assess LLM tools, define metrics and KPIs, maintain reliable SQL and dbt analytics foundations, and build Tableau dashboards. You will conduct A/B tests and exploratory analyses, communicate recommendations clearly, and partner with stakeholders to evolve metrics, dashboards, and analyses.

Responsibilities

  • Design and deploy AI agent workflows for recurring analysis, data summarization, and insight generation
  • Evaluate and integrate LLM-based tools for analytical use cases
  • Collaborate with product and business teams to define analytical questions, success metrics, and KPIs
  • Build and maintain analytics foundations using SQL and dbt
  • Design, build, and maintain Tableau dashboards
  • Perform A/B testing, statistical inference, significance testing, and result interpretation
  • Conduct ad-hoc, exploratory, and statistical analyses
  • Communicate findings and actionable recommendations to technical and non-technical stakeholders
  • Develop and iterate on key metrics, dashboards, and data analyses with stakeholders

Requirements

  • 5+ years of experience in similar roles
  • Experience with AI agent frameworks such as LangChain, LlamaIndex, or CrewAI
  • Experience building and deploying agentic systems
  • Prompt engineering and LLM output evaluation experience
  • Experience orchestrating multi-step AI pipelines with LLMs, structured data sources, APIs, or internal tooling
  • Strong SQL and Python skills
  • Experience with dbt
  • Experience building Tableau dashboards
  • Knowledge of statistics, experimentation, and hypothesis testing
  • Cross-functional communication skills

Skills

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See also

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