Senior Data Scientist, CX Analytics

🕒 June 16

🇺🇸 United States – Remote

💵 $180.4k - $212k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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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 and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals. • Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement. • Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure. • Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences and improve business outcomes. • Maintain a high bar for statistical rigor across CX's analytics function, ensuring experimentation, causal analyses, and model outputs meet the standards required for executive reporting and regulatory defensibility.

🎯 Requirements

• A BA/BS in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) with 5+ years of relevant experience, or a PhD in a quantitative field with 3+ years of relevant experience. • Demonstrated experience building revenue attribution or causal impact models in a consumer-facing or operational analytics context. • Practical expertise applying statistical concepts including A/B testing, causal inference, and ML to ambiguous, real-world business problems. • Experience designing and deploying LLM-based classification or NLP pipelines with a focus on production-grade accuracy and evaluation rigor. • Ability to influence cross-functional stakeholders by synthesizing complex model outputs into clear, actionable narratives for executive and product audiences. • Demonstrated experience driving impactful data science projects that tackle ambiguous problem spaces with limited prior art. • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. • Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

🏖️ Benefits

• Equity and bonus eligibility • Medical benefits • Dental benefits • Vision benefits • 401(k)