Senior Growth Data Scientist

职位要求 / 描述

About Binance.US:  Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. Recognized as a top U.S. crypto platform by Forbes (Best Crypto Exchanges of 2026) and Business Insider (Best Crypto Exchanges of 2025), Binance.US http://Binance.US leads the industry with its low fees, advanced trading engine, strong security and reliability, and robust compliance framework. Learn more at www.binance.us http://www.binance.us. All roles supporting Binance.US http://Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: Binance.US http://Binance.US, one of the most recognized brands in cryptocurrency, is looking for a Senior Growth Data Scientist to join our Data organization as a dedicated partner to the Marketing team. You'll sit within Data — with the rigor, tooling, and standards that come with it — while working day-to-day alongside performance, lifecycle, brand, and growth teams to shape and measure marketing strategy. This is a high-ownership individual-contributor role for someone who wants to build the analytical foundation a fast-growing marketing org needs, and to influence where and how we invest. As the function matures, there's a clear path for this role to grow a team underneath it. Core Responsibilities: - Serve as the embedded data science partner to Marketing, bringing rigorous, data-driven decision-making to a team that today lacks dedicated analytical support. - Stand up and own the marketing measurement foundation — event tracking architecture, unified attribution windows, and KPI frameworks across mobile (MMP) and web (GA) — so channels can be compared apples-to-apples. - Build and maintain the core models that drive spend decisions: LTV, ROAS, CAC/payback, and retention; translate them into channel strategy and budget allocation recommendations. - Design, run, and read out experiments and A/B tests across acquisition and the customer lifecycle, and set the experimentation standard for the marketing org. - Analyze the full funnel (acquisition → activation → engagement → retention → monetization), surface the highest-impact growth opportunities, and size them. - Build forecasting and opportunity-sizing models to inform planning and resource allocation. - Develop self-serve dashboards and recurring reporting that give Marketing and leadership clear visibility into performance. - Partner with Data Engineering and MMP/ad-platform teams to ensure data quality and measurement accuracy, and prioritize fixes. - Translate analysis into clear, persuasive recommendations, and influence marketing investment decisions with stakeholders up to leadership. Preferred Skills/Experience: - 5 years in marketing/growth analytics or data science, ideally at a consumer-facing tech, fintech, or startup, with a track record of driving measurable growth. - Advanced SQL and comfort working with large-scale data in modern warehouse environments. - Proficiency in Python or R for analysis and modeling. - Strong grounding in marketing attribution, experimentation and statistics, funnel analysis, retention, ARPU, and LTV. - Hands-on experience with mobile measurement platforms (AppsFlyer preferred): SDK/event setup and attribution modeling. - Proficiency with BI/visualization tools (Tableau, Looker, or similar). - Excellent communication and the ability to influence non-technical stakeholders — especially important since Marketing will look to this person for direction. - A self-starter comfortable building from scratch in an ambiguous, fast-moving environment. Nice to have - Crypto, fintech, or financial services experience. - ML applied to marketing (propensity, churn, LTV prediction, audience segmentation). - Experience building audience segments and activating warehouse data into ad platforms. - Bachelor's in a quantitative field; Master's a plus. Salary: The star

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