Data Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• Develop Clerk’s machine learning infrastructure, encompassing pipelines, training, and model deployment from notebook to production.

• Transform Clerk’s internal data into actionable products, including conversion and expansion scoring, lifetime value, and feature telemetry.

• Deliver valuable data products to clients, featuring a semantic layer for natural-language interaction with their data.

• Embed models and signals into product and platform code within engineering repositories.

• Facilitate collaboration across teams responsible for product and platform code.

• Create dashboards, analyze trends, and engage with customers as required.

⛳️ Requirements

• Staff-level Data Scientist or ML Engineer.

• Experience in building machine learning systems from the ground up and deploying them in a production environment.

• Proficient in both development and analysis.

• Background in developer tools or infrastructure products is advantageous.

• Must reside in the Americas.

• Must be within ±3 hours of U.S. Mountain Time (MDT, UTC−06:00).

• Individual contributor looking for substantial scope and independence.

• Comfortable navigating both data and engineering, including submitting pull requests in related engineering repositories.

• Strong product intuition to identify valuable problems.

• Adopts an iterative “ship and iterate” methodology.

• Technical expertise in data, machine learning, and infrastructure.

• Familiarity with or aptitude for quickly mastering GCP/BQ, dbt, Dagster, ClickHouse, PostHog, and Hex.

🏝️ Benefits

• Equity ownership / stock option plan.

• Comprehensive health insurance.

• Choice of home office equipment.

• Unlimited vacation policy (25 days per year recommended).

• National holidays based on country of residence.

• A diverse and inclusive globally distributed team.