Data Scientist – Experimentation & Causal Inference

We are:
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. With the right people and the right ideas, there’s no limit to what we can achieve
Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: 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...