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Senior Product Data Scientist
Binance.USSenior Product Data Scientist at Binance.US driving product growth through data analysis and A/B testing. Collaborating with cross-functional teams to enhance user engagement and monetization.
Posted 6/22/2026full-timeRemote • 🇦🇪 United Arab EmiratesSenior💰 AED 42,000 - AED 48,000 per yearWebsite
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own and drive end-to-end ML projects that directly impact product growth, engagement, and monetization, from problem framing to deployment and measurement
- Build and maintain ML models such as user segmentation, churn prediction, and recommendation systems to surface actionable opportunities for the product
- Partner with Product Managers to translate business questions into well-defined analytical or modeling problems with clear success metrics
- Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities and inform product strategy
- Design, execute, and analyze A/B and multivariate experiments with a strong focus on revenue, retention, and engagement impact
- Develop and maintain key product KPIs, dashboards, and monitoring metrics to track model performance and product outcomes
- Ensure accurate event tracking and data instrumentation for new and existing product features
- Translate complex analytical and modeling findings into clear, actionable recommendations for both technical and non-technical stakeholders
- Act as a thought partner and data leader within product teams, fostering a strong data-driven and experimentation culture
Requirements
What you’ll need- 4+ 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.
Benefits
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learninguser segmentationchurn predictionrecommendation systemsA/B testingmultivariate testingSQLPythonRdata analysis
Soft Skills
communicationinfluencebusiness acumenproject managementanalytical rigorcollaborationproblem framingdata-driven culturestakeholder engagementthought leadership