Outtake
Founding Applied Data Scientist
New York City · On-site · Full-time · Posted Jul 28, 2026
- Experience
- 5+ years of combined experience; listed roles include Engineer, Analytics Engineer, Data Scientist, or closely related role.
About the job
Defines and builds Outtake’s data infrastructure, metrics, and AI evaluation systems to guide product, business, and pricing decisions.
What you'll do
- Own data pipelines and infrastructure, and set the roadmap for analytics and applied data science.
- Define canonical product and business metrics, semantic layers, and decision-support analyses.
- Partner with Product, Finance, and Platform Engineering on pricing, profitability, and AI evaluation, observability, and reliability.
What they ask for
- 5+ years of combined experience as an Engineer, Analytics Engineer, Data Scientist, or closely related role.
- Strong SQL proficiency; production experience in Postgres is ideal.
- Experience building reliable data pipelines, data models, semantic layers, or analytics infrastructure.
- Experience defining product and business metrics and working with AI evaluation, model performance measurement, LLM observability, or similar systems.
Nice to have
- Experience with Hex or similar collaborative analytics tools.
- Experience as an early data hire or founding team member in a high-growth startup.
Tools
SQL, Postgres, Hex, Langfuse, Braintrust, Arize, Phoenix, OpenTelemetry
AI focus
Measure and improve AI system performance through evals, benchmarking, observability, reliability reporting, and agent effectiveness metrics.
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