Senior Product Data Scientist
Quick Summary
Own and drive end-to-end ML projects that directly impact product growth, engagement, and monetization,
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.
About the Role
~1 min readAs 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.
Responsibilities
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Own and drive end-to-end ML projects that directly impact product growth, engagement, and monetization, from problem framing to deployment and measurement
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Build and maintain ML models such as user segmentation, churn prediction, and recommendation systems to surface actionable opportunities for the product
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Partner with Product Managers to translate business questions into well-defined analytical or modeling problems with clear success metrics
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Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities and inform product strategy
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Design, execute, and analyze A/B and multivariate experiments with a strong focus on revenue, retention, and engagement impact
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Develop and maintain key product KPIs, dashboards, and monitoring metrics to track model performance and product outcomes
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Ensure accurate event tracking and data instrumentation for new and existing product features
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Translate complex analytical and modeling findings into clear, actionable recommendations for both technical and non-technical stakeholders
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Act as a thought partner and data leader within product teams, fostering a strong data-driven and experimentation culture
Nice to Have
~1 min read4+ years of experience in Data Science, Product Analytics, or a closely related role in a consumer-facing tech company
Hands-on experience building and deploying ML models in production
Strong understanding of experimental design, statistics, and causal inference, including common pitfalls in real-world experimentation
Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys
Fluency in SQL and high proficiency in Python or R
Strong business acumen with the ability to connect model outputs and 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 projects simultaneously while maintaining analytical rigor
Prior experience in fintech, crypto, or marketplace products is a plus, but not required
The starting pay range for this role is between AED42,000 - AED48,000 per year for all U.A.E. 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.
What We Offer
~2 min readWe believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings.
Location & Eligibility
Listing Details
- Posted
- June 22, 2026
- First seen
- June 22, 2026
- Last seen
- June 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 61%
- Scored at
- June 22, 2026
Signal breakdown
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