Senior Data Scientist

Responsibilities

• Act as an embedded Data partner to Product
• Design, and Engineering, helping shape strategy, product proposals, and experiments from the earliest stages.
• Build analytical frameworks across the full PLG journey from acquisition and activation through engagement, adoption, expansion, monetization, and durability
• Use funnel, cohort, journey, and sequence analysis to identify friction and opportunities for improvement.
• Identify the behaviors and milestones that predict conversion, production readiness, expansion, churn, and long-term customer success, and translate them into leading indicators for successful or stalled accounts.
• Analyze feature discovery and adoption patterns to recommend interventions that increase successful adoption and expansion.
• Design and evaluate experiments and product changes, using matched comparisons, pre/post-intervention analysis, causal methods, and other appropriate techniques when conventional A/B testing is not practical.
• Clearly distinguish observed results from assumptions, quantify uncertainty, and explain the confidence behind each conclusion.
• Help prioritize growth opportunities based on potential impact, confidence, effort, and measurement feasibility.
• Build reusable datasets, metrics, dashboards, and analytical tools that reduce ad hoc work and make insights accessible to Product, Marketing, Sales, and leadership.

Languages