Senior Product Data Scientist

Job Description

REQUIREMENTS

• 4+ years of experience in Data Science, Product Analytics, or a 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.
• Deep experience analyzing user funnels, cohorts, lifecycle metrics, and customer journeys.
• Fluency in SQL and high proficiency in Python or R.

Preferred

• Strong business acumen with the ability to connect data insights to commercial outcomes.
• Experience working in a fast-paced, high-growth startup environment.
• Prior experience in fintech, crypto, or marketplace products.

RESPONSIBILITIES

• Own end-to-end ML projects that impact product growth, engagement, and monetization, from problem framing to deployment.
• Build and maintain ML models such as user segmentation, churn prediction, and recommendation systems.
• Partner with Product Managers to translate business questions into analytical or modeling problems with clear success metrics.
• Conduct deep-dive analysis on user behavior, funnels, cohorts, and journeys to identify growth opportunities.
• Design, execute, and analyze A/B and multivariate experiments focused on revenue, retention, and engagement.
• Develop and maintain key product KPIs, dashboards, and monitoring metrics to track model performance.
• Ensure accurate event tracking and data instrumentation for new and existing product features.
• Translate complex analytical findings into actionable recommendations for technical and non-technical stakeholders.

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