The employer partner is a licensed and regulated U.S. cryptocurrency exchange that enables users to buy, trade, hold, and earn digital assets. The platform has been recognized by leading publications for its cryptocurrency exchange services and is known for its competitive fees, advanced trading technology, strong security and reliability, and comprehensive compliance framework. Roles supporting the platform are employed through affiliated management entities in the United States and Canada.
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.
Core Responsibilities:
- 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 analyses 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
Preferred Skills/Experience:
- 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
United States
Mexico