#3 - Data Scientist Senior - Causal Inference

📋 Description

• Design, run, and analyze A/B tests and multivariate experiments (sample size and power
• Apply causal inference techniques (Difference-in-Differences, Synthetic Control, Propensity Score
• Measure and optimize marketing performance: incrementality, attribution, ROI/ROAS, customer
• Translate business questions from growth and marketing teams into well-defined analytical problems
• Develop analyses, features, and models on Databricks (notebooks, Spark, Delta Lake), collaborating
• Build predictive and segmentation models (churn, propensity, customer segmentation) that support

🎯 Requirements

• 3+ years of experience in Data Science, Applied Statistics, Econometrics, or similar analytical
• Hands-on experience with Databricks (notebooks, Spark/PySpark, Delta Lake) – required.
• Solid, hands-on experience designing and analyzing A/B tests and online/offline experiments.
• Strong knowledge of causal inference methods and their assumptions, limitations, and practical
• Strong foundations in statistics and econometrics (hypothesis testing, regression, Bayesian and
• Proficiency in Python (pandas, PySpark, statsmodels, scikit-learn) and advanced SQL.

🎁 Benefits

• 🌍 Remote-first culture – work from anywhere!
• 🚀 In-Company English Lessons.
• 💪 Wellhub or sports club stipend to stay active
• 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• 🍕 Food credits via Pedidos Ya – because great work deserves great food.
• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)