Senior Data Scientist, Product Analytics

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.

As a Senior Product Data Scientist at Binance.US, you will sit at the intersection of product strategy, experimentation, and data science. Your mission is to drive measurable improvements in user growth, engagement, retention, and revenue through rigorous analysis, experimentation, and data-informed product decisions.

You will partner closely with Product Managers, Engineers, Designers, and Business leaders to understand user behavior across the full lifecycle, design and evaluate experiments, and translate insights into product changes that materially move core metrics such as conversion, ARPU, retention, and stickiness.

This is a hands-on role for a data scientist who has repeatedly used A/B testing and product analytics to drive real business outcomes, not just analysis or reporting.

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  Own and drive end-to-end product analytics for key consumer-facing products and initiatives

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  Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify opportunities for growth, monetization, and improved user experience

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  Design, execute, and analyze A/B and multivariate experiments to evaluate product, UX, pricing, and growth initiatives

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  Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches

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  Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders

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  Develop and maintain key product KPIs, dashboards, and monitoring metrics to track product performance and experiment results

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  Ensure accurate event tracking and data instrumentation for new and existing product features

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  Leverage AI-assisted tools and ML techniques (e.g., segmentation, propensity scoring) to take on more advanced analysis to support product decisions

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  Support ad-hoc data requests from cross-functional teams across the company

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  Support strategic deep dives that influence roadmap prioritization and business strategy

• 4+ years of experience in Data Science, Product Analytics, or a closely related role in a consumer-facing tech company

• Proven, hands-on experience designing and analyzing A/B tests that led to measurable improvements in metrics like revenue, ARPU, retention, etc.

• Strong understanding of experimental design, statistics, and causal inference, including common pitfalls and trade-offs in real-world experimentation

• Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys

• Fluency in SQL and proficiency in Python or R

• Experience building compelling dashboards and data visualizations to communicate insights (experience with Tableau is a plus)

• Comfortable leveraging AI tools to extend analytical capabilities and independently tackle more complex analyses

• Strong business acumen with the ability to connect 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 initiatives simultaneously while maintaining analytical rigor and execution quality

• Prior experience in fintech, crypto, or marketplace products is a plus, but not required

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$195,000 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.