Senior Product Data Scientist

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Binance.US

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2019

₿ Crypto

💳 Fintech

🛍️ eCommerce

💰 $200M Seed Round on 2022-04

Crypto • Fintech • eCommerce

Binance. US is a licensed and regulated cryptocurrency exchange in the United States, allowing users to securely buy, sell, and trade over 160 cryptocurrencies, including Bitcoin and Ethereum. With features such as deep liquidity, low trading fees, and a robust staking platform, Binance. US provides users with the tools to manage their crypto assets efficiently and confidently. The platform supports a variety of payment methods, making it easy for users to deposit and withdraw USD, while prioritizing the security of customer funds.

📋 Description

• Own and drive end-to-end ML projects that directly impact product growth, engagement, and monetization, from problem framing to deployment and measurement • Build and maintain ML models such as user segmentation, churn prediction, and recommendation systems to surface actionable opportunities for the product • Partner with Product Managers to translate business questions into well-defined analytical or modeling problems with clear success metrics • Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities and inform product strategy • Design, execute, and analyze A/B and multivariate experiments with a strong focus on revenue, retention, and engagement impact • Develop and maintain key product KPIs, dashboards, and monitoring metrics to track model performance and product outcomes • Ensure accurate event tracking and data instrumentation for new and existing product features • Translate complex analytical and modeling findings into clear, actionable recommendations for both technical and non-technical stakeholders • Act as a thought partner and data leader within product teams, fostering a strong data-driven and experimentation culture

🎯 Requirements

• 4+ years of experience in Data Science, Product Analytics, or a closely related role in a consumer-facing tech company • Hands-on experience building and deploying ML models in production • Strong understanding of experimental design, statistics, and causal inference, including common pitfalls in real-world experimentation • Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys • Fluency in SQL and high proficiency in Python or R • Strong business acumen with the ability to connect model outputs and data insights to product strategy and commercial outcomes • Excellent communication skills, with the ability to influence product decisions through data • Experience working in a fast-paced, high-growth startup environment • Ability to manage multiple projects simultaneously while maintaining analytical rigor • Prior experience in fintech, crypto, or marketplace products is a plus, but not required.

🏖️ Benefits

• Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. • Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. • Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. • Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match.