Senior Data Scientist

Responsibilities

• Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
• Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.
• Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
• Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
• Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.
• Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.

Languages