Senior Data Scientist

What you'll do

• Formulate business questions into testable hypotheses and rigorous experimental designs
• Collect and clean data, analyze experiments, infer causality and estimate effects
• Use Statistical Modeling and ML to find patterns and make predictions from large datasets
• Engineer features, deploy models and improve them as needed
• Visualize and report your findings to Stakeholders, adapting your communication to a variety of audiences
• Communicate findings to Stakeholders, adapting your communication to a variety of audiences

What you'll need

• Knowledge of causal inference, experimentation and econometrics statistics methods for analytical problems
• Ability to design, conduct and analyze experiments to infer causality and estimate effects
• Understanding of statistical modeling and ML to find patterns and make predictions from large datasets
• Skilled in SQL and Python (Pandas Library, basics of OOP and API endpoints)
• Hands-on experience in common ML frameworks, tools & libraries (scikit-learn, scipy, numpy)
• Knowledge of ML methods (neural networks, naive Bayes, SVM, decision forests, etc.)
• Ability to engineer features, deploy models and improve them as needed
• Ability to visualize and report your findings to Stakeholders, adapting your communication to a variety of audiences
• Motivation to learn all along the way and improve continuously