Senior Statistician

About the job

Key Responsibilities: 1. Develop and calibrate logistic regression, Bayesian hierarchical, and machine-learning (randomforest, XGBoost, ensemble) models. 2. Conduct hypothesis testing by developing best practices, defining objectives and summarizing outputs in a layman friendly manner. 3. Generate forecast error maps using Inference and C.I estimations, and design metrics for continuous model improvement. 4. Collaborate with data engineering and data intelligence teams to ensure model reproducibility and scalability. 5. Document model logic, assumptions, and performance for internal governance. 6. Conduct weighting, post-stratification, and bias-correction for survey data.

Qualifications

• Master’s degree in Economics (Econometrics), Statistics, Mathematics or a related quantitative field.
• 2-3 years of relevant professional working experience with a strong focus on model building, model testing and forecasting

About the company

We are one of India’s premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign.