Institutional Data Scientist II - Experiments & Impact

Unchain Data; United States; Presencial; USD 152.000 - 179.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual base salary range: $152,405–$US

Descripción de la vacante

Coinbase is seeking a Data Scientist II to join our Institutional team. You will help build the foundations for Coinbase Institutional, develop models to explore fee schedules on our exchanges, and analyze frameworks around Prime Broker Trading and Financing to onboard institutions.

You will design experiments, maintain key metrics, and produce insights that influence product decisions and the company’s bottom line, with strong SQL and Python skills and a background in statistics.

Formación

• BA/BS in a quantitative field with 2+ years of relevant experience.
• Experience driving impact for a digital product with an iterative development cycle.
• Understanding of statistical concepts and practical experience applying them (in A/B testing, causal inference, ML).
• Experience in data analysis using SQL.
• Experience in programming and modeling in Python.
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Responsabilidades

• Perform analyses on products to answer open-ended questions and provide strategic recommendations.
• Design and guide experiments and analysis to measure impact and drive product improvements.
• Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.

Conocimientos

Data analysis

SQL

Python

Experiment design

Statistical methods

Educación

BA/BS in a quantitative field

Herramientas

SQL

Python

Descripción del empleo

Coinbase is seeking a Data Scientist II to join our Institutional team. You will help build the foundations for Coinbase Institutional, develop models to explore fee schedules on our exchanges, and analyze frameworks around Prime Broker Trading and Financing to onboard institutions.

You will design experiments, maintain key metrics, and produce insights that influence product decisions and the company’s bottom line, with strong SQL and Python skills and a background in statistics.