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

📌 Senior Python Data Scientist (Secunderabad)
🏢 Indium
📍 Secunderabad