Senior Data Scientist, Product

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $180.4k - $212.2k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of Coinbase

Coinbase

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Conduct analysis and deep dives on ambiguous business problems • Produce insights and recommendations that guide team decision-making • Build, tune, or measure online and offline machine learning models and AI systems used across Coinbase • Own a broad scope of data and metrics, including definitions, core logging, and data visualization presentation • Guide code reviews and provide SQL and Python expertise • Create well-maintained ETL jobs • Maintain statistical rigor across the team • Design, execute, and improve experimentation and causal analyses • Partner with Product, Engineering, and Design to influence the roadmap and understand users

🎯 Requirements

• BA/BS in a quantitative field (e.g., Math, Statistics, Physics, or Computer Science) with ≥5+ years of relevant experience, or a PhD in a quantitative field with ≥3+ years of relevant experience • Demonstrated experience driving impactful data science projects addressing ambiguous problem spaces • Ability to influence external stakeholders by synthesizing data learnings into compelling stories • Practical expertise applying complex modeling frameworks to practical business problems • Professional experience using SQL and Python • Experience working with digital products in an iterative development cycle • Clear communication, positive energy, continuous learning, and efficient execution • Responsible use of generative AI with human oversight to deliver business-ready analytical outputs and models

🏖️ Benefits

• Equity eligibility • Bonus eligibility • Medical insurance • Dental insurance • Vision insurance • 401(k) • Quarterly in-person working sessions (“surges”) • Reasonable accommodations for individuals with disabilities • Free compatible screen reader for applicants needing screen reading technology

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