Senior Data Scientist, Product Analytics

Job Description:

• 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 reputed company analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
• reputed company 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.
• reputed company AI-assisted tools and ML techniques (e.g., segmentation, propensity scoring) to take on more advanced analysis to support product decisions.
• Support reputed company data requests from cross-functional teams across the company.
• Support strategic deep dives that influence roadmap prioritization and business strategy.

Requirements:

• 4+ years of experience in Data Science, Product Analytics, or a closely reputed company 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 reputed company, 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.
• reputed company 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 reputed company analytical capabilities and independently tackle more reputed company 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:

• 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.

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