
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.
🕒 June 22
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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.
• 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.
• 5 years in marketing/growth analytics or data science • 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 • A self-starter comfortable building from scratch in an ambiguous, fast-moving environment
• 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
Apply Now🕒 June 20
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