About this role
Data Scientist – Experimentation & Causal Inference at WIZELINE. Location: Mexico. Role: designing models, running experiments, presenting results Requirements: 3–4 years applying causal inference and experimentation; advanced statistics and econometrics; proficiency in Python, R, SQL, PySpark, and Azure/Databricks; experience with causal libraries and RCT design. Category: Data and Analytics Seniority: Mid Level Tools: Python, R, econml, causalml, dowhy, statsmodels, scikit-learn, did, fixest, CausalImpact, MatchIt, Synth, gsynth, SQL, PySpark, Microsoft Azure, Databricks, Azure DevOps Commitment: Full Time Workplace: Onsite Languages: English