Data Scientist – Experimentation & Causal Inference

Wizeline, a global AI-native technology solutions provider, develops cutting-edge AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

Key Responsibilities

• Design, build, and validate causal models to evaluate the impact of business campaigns and initiatives (2x2 Difference-in-Differences (DiD), Staggered DiD, Synthetic Control, Causal Forest, DoubleML, Causal Meta Learners, G-Computation, Causal Discovery, DAG).
• Define causal estimation methodologies for the design, implementation, and validation of causal models, aligned with business context, data quality, and the strategic decisions to be informed, ensuring standards and best practices.
• Apply advanced statistical methods on observational data to identify and quantify causal relationships, ...