Outtake

Outtake

Founding Applied Data Scientist

New York City · Senior

Sponsorship not specifiedDetected 87 days ago
SQLPostgreSQLBigQuerySnowflakeDatabricksPlatform EngineeringdbtData EngineeringData ScienceLLMsAgentic AIProduct StrategyCollaboration

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

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Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • This is a Founding Applied Data Scientist role.
  • Our product operates in a noisy, adversarial, fast-moving threat landscape.
  • You will make legible what is working, where our agents are succeeding or failing, how customers are experiencing value, and how the business should price, package, and prioritize its work.

Responsibilities

  • Own our 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 at Outtake.
  • Define and maintain the semantic layer in our product analytics stack, including Hex and the underlying warehouse models.
  • Build canonical performance metrics for our product and business, including activation, usage, retention, customer value, operational efficiency, and agent effectiveness.
  • Partner with Product and Finance to refine pricing models, usage-based packaging, margin analysis, and customer-level profitability.
  • Design dashboards, analyses, and decision-support systems that help the team make fast, high-confidence product and business decisions.
  • Build data quality checks, documentation, and metric definitions that make our data trustworthy and easy for others to use.
  • Experience building reliable data pipelines, data models, semantic layers, or internal analytics infrastructure.
  • We trust adults to manage energy, not clock time.
  • We are committed to building a diverse, inclusive team.

Requirements

  • 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 defining product and business metrics from first principles, not just reporting on pre-existing dashboards.
  • 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 the tradeoffs, caveats, and recommendations that matter.

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.
  • Collaboration, speed, and clarity matter.
  • Outtake is an equal opportunity employer.
  • Nice to have: experience working with Hex or similar collaborative analytics tools.

Compensation

  • Culture & Team: Annual company retreats and regular in-person events.

Benefits

  • Health: 100% company-paid medical, dental, and vision for employees.
  • Time Away: Flexible PTO.

Company info

  • Outtake exists to empower and facilitate trust for a digital-first world.
  • Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to.
  • So we built something different:
  • an agentic AI platform that proactively detects, monitors, and takes down impersonators, automating protection in hours, not weeks.
  • Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity.
  • Our goal is ambitious:
  • become the trust layer of the modern internet.
  • And we intend to do it with a lean, dense, exceptionally talented team.
  • Outtake is backed by top-tier investors and operators who believe in our mission and our model.
  • With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers.
  • Annual company retreats and regular in-person events.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Outtake's careers page and normalized into a canonical job model.