Senior Growth Data Scientist

Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.

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.

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  Serve as the embedded data science partner to Marketing, bringing rigorous, data-driven decision-making to a team that today lacks dedicated analytical support.

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  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.

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  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.

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  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.

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  Analyze the full funnel (acquisition → activation → engagement → retention → monetization), surface the highest-impact growth opportunities, and size them.

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  Build forecasting and opportunity-sizing models to inform planning and resource allocation.

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  Develop self-serve dashboards and recurring reporting that give Marketing and leadership clear visibility into performance.

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  Partner with Data Engineering and MMP/ad-platform teams to ensure data quality and measurement accuracy, and prioritize fixes.

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  Translate analysis into clear, persuasive recommendations, and influence marketing investment decisions with stakeholders up to leadership.

• 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.

• 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.

The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,00 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change.