Senior Data Scientist, Product Analytics

Binance.US

Senior Data Scientist at Binance.US utilizing data to enhance product performance and user engagement through analytics and experimentation. Collaborating with cross-functional teams to influence product decisions and strategies.

Posted 6/22/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $170,000 - $195,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Own and drive end-to-end product analytics for key consumer-facing products and initiatives.
Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify opportunities for growth, monetization, and improved user experience.
Design, execute, and analyze A/B and multivariate experiments to evaluate product, UX, pricing, and growth initiatives.
Partner with Product Managers to define clear hypotheses, success metrics, and guardrails for experiments and product launches.
Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
Develop and maintain key product KPIs, dashboards, and monitoring metrics to track product performance and experiment results.
Ensure accurate event tracking and data instrumentation for new and existing product features.
Leverage AI-assisted tools and ML techniques (e.g., segmentation, propensity scoring) to take on more advanced analysis to support product decisions.
Support ad-hoc data requests from cross-functional teams across the company.
Support strategic deep dives that influence roadmap prioritization and business strategy.

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.
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.

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

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisA/B testingmultivariate testingexperimental designstatisticscausal inferenceSQLPythonRdata visualization

Soft Skills

communicationbusiness acumenanalytical rigorinfluencecollaborationtime managementproblem-solvingadaptabilitystrategic thinkingstakeholder engagement