Data Scientist 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.We are looking for a Data Scientist with strong expertise in causal inference, experimentation, and advanced statistical modeling.
This role requires hands-on experience designing and validating causal models, running randomized controlled trials, and applying machine learning techniques to both experimental and observational data.Causal Modeling : Design, build, and validate causal models to measure the impact of business initiatives (Difference-in-Differences, Synthetic Control, Potential Outcomes framework).
Experimentation : Implement randomized controlled trials (RCTs), ensuring robust design, group assignment, and statistical validity.Statistical Analysis : Data Tools : Use Python, R, SQL, and PySpark to analyze large-scale datasets in distributed environments.5–7 years of experience in causal inference, experimentation (RCTs), and machine learning.
~ Bachelor's degree in Statistics, Economics, Computer Science, or related field.
~ English level: B2 .
~ Advanced proficiency in Python (econml, causalml, dowhy, statsmodels, scikit-learn) and R (did, fixest, CausalImpact, MatchIt, Synth, gsynth).
~ Advanced SQL and PySpark for data extraction, transformation, and analysis.Ability to leverage AI tools for drafting, analysis, research, or process automation, and recommend effective AI use in workflows.Ability to lead conversations with clients and senior stakeholders.Commitment to Professional DevelopmentGlobal Opportunities
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