Data Scientist

📋 Description Frame the problem & own the scope: tie econometric work to revenue, cost, or churn levers. Design advanced experiments: A/B tests; synthetic controls; staggered rollouts. Apply rigorous modeling: reduced-form and simple structural models. Build robust metrics: write production-quality SQL and Python. Communicate findings to non-technical decision-makers. Lead with AI fluency: use AI to accelerate analysis with judgment. 🎯 Requirements Expertise in causal inference: econometric methods incl IV, RDD, DiD. Fluent programming: Python and SQL for data sourcing and shaping. Strong theoretical foundation: reason from first principles. Clear communication: translate findings to stakeholders. Intellectual honesty: quantify uncertainty, state assumptions. Ability to design experiments and reason about data quality. 🎁 Benefits Office-first culture with in-person collaboration European offices with hybrid/work-friendly spaces Visit dojo.careers for benefits and culture