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Causal Inference Study Design Architect

Quantitative analysts and data scientists at product companies or research institutions need to design observational studies or quasi-experiments when A/B testing is infeasible. They face the challenge of selecting the right identification strategy and defending its assumptions to skeptical stakeholders.

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• Data Science & AI
• Experimentation & Causal Inference

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