Founding Applied Data Scientist

The role

You will define how the company understands and improves product, business, and AI system performance. You will build the data foundation, analytical infrastructure, and semantic layer to drive decisions.

What you will do

• Own analytical data pipeline and infrastructure across product, business, and AI performance data.
• Build and own the long-term roadmap for data infrastructure, analytics, and applied data science.
• Define and maintain the semantic layer in the product analytics stack.
• Build canonical performance metrics for product and business.
• Partner with Product and Finance to refine pricing models and margin analysis.
• Work with Platform Engineering on internal AI performance metrics, evals, and observability.
• Design dashboards, analyses, and decision-support systems.
• Build data quality checks, documentation, and metric definitions.
• Translate ambiguous questions into rigorous analyses and practical recommendations.

Required qualifications

• 5+ years of combined experience as an Engineer, Analytics Engineer, Data Scientist, or closely related role.
• Strong proficiency in SQL, ideally with production experience in Postgres and modern analytical modeling patterns.
• Experience building reliable data pipelines, data models, semantic layers, or internal analytics infrastructure.
• Experience defining product and business metrics from first principles.
• Experience working with modern AI eval frameworks, model performance measurement, LLM observability, or similar systems.
• Strong product judgment and the ability to turn ambiguous business or product questions into clear analytical approaches.
• Comfort working cross-functionally with Product, Engineering, Finance, and GTM stakeholders.
• The ability to communicate complex analyses clearly, including tradeoffs, caveats, and recommendations.
• High ownership, a strong bias toward action, and comfort operating in a fast-moving, early-stage environment.

Nice to have

• experience working with Hex or similar collaborative analytics tools
• experience as an early data hire or founding team member in a high-growth startup
• experience working with Langfuse, Braintrust, Arize, Phoenix, OpenTelemetry, or similar AI observability/eval tooling
• experience working with ClickHouse, BigQuery, Snowflake, Databricks, DuckDB, dbt, or similar analytical data systems
• experience with usage-based pricing, unit economics, margin modeling, or customer-level profitability analysis
• experience building metrics or evals for AI agents, LLM products, fraud systems, abuse detection, cybersecurity, or trust & safety products
• experience building internal tools, notebooks, or lightweight apps that help non-data teammates answer their own questions

Benefits

• 100% company-paid medical, dental, and vision for employees
• Flexible PTO
• Annual company retreats
• Regular in-person events

About the company

Outtake is an agentic AI platform that proactively detects, monitors, and takes down impersonators. It is built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers.