Senior Growth Data Scientist

Senior Growth Data Scientist LocationU.S. Employment TypeFull timeLocation TypeRemoteDepartmentDataAbout 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 leads the industry with its low fees, advanced trading engine, strong security and reliability, and robust compliance framework. Learn more at www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.About This Role: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 haveCrypto, 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 starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian...