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 Data Scientist (Hyderabad)
🏢 Indium
📍 Hyderabad