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

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