Data Scientist, Product
Core
Drive data-informed decision making across the organization by analyzing product and user data to improve products, strategy, and operations.
Role type
Senior Product Data Scientist (Causal Inference & Analytics)
Builds
Measurement frameworks, statistical models, optimization frameworks, and simulations to automate decision-making.
Domain
AI/ML product development and safety
Deliverable
production ML models | dashboards & analysis | research
Required skills
Python, SQL, causal inference, experimental design, A/B testing, statistical modeling, root cause analysis, data visualization
Preferred skills
Experience with large language models, AI/ML products, developer tools in the AI/ML ecosystem
Responsibilities
Deep dive into product and user data to derive actionable insights; Develop hypotheses and apply rigorous causal inference methods; Investigate anomalies and conduct root cause analyses; Define core metrics and build measurement frameworks; Build statistical models and simulations to automate decision-making; Present complex technical analyses to stakeholders.
Seniority
Senior, hands-on IC
