Staff Applied Data Scientist, Pricing

Job not on LinkedIn

🕒 July 25

🇺🇸 United States – Remote

💵 $207.5k - $244.1k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 27%

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Coinbase

WebsiteLinkedInAll Job Openings

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

• Own end-to-end pricing experimentation, from test design through analysis and recommendation • Build and refine pricing models and evaluation frameworks to determine optimal pricing strategy across consumer products • Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities • Develop and maintain production-grade data pipelines and data models powering pricing analytics • Synthesize complex findings into clear, actionable recommendations and present them to senior leadership • Own pricing experimentation and strategy for Coinbase Consumer & Business products • Collaborate with Product, Engineering, Design, Finance, and cross-functional leaders to inform business decisions

🎯 Requirements

• 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling • 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and building predictive models • Proven proficiency in SQL and Python or R for statistical modeling, pipeline development, and data analysis • Track record of independently scoping and delivering complex analytical projects spanning multiple teams, from problem definition through executive presentation • Responsible use of generative AI with human oversight • Master's in Economics, Statistics, or a related quantitative field is preferred; PhD is preferred

🏖️ 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 • Employee rights, Know Your Rights, and E-Verify notices for US applicants

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