Senior Statistician

Role : Senior Statistician

Location : Bangalore-Hybrid

Department / Team : Modelling, Pattern Recognition and Insights

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. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country.

Job Summary :

We are seeking a detail-oriented and methodical Statistical Analyst to join our analytics team. The ideal candidate will be responsible for collecting, analyzing, and interpreting quantitative data to support strategic decision-making. This role involves developing statistical models, running simulations, and producing reports and visualizations to uncover insights and guide organizational priorities. The role also requires the candidate to be able to report and publish insights from data from time to time.

Key Responsibilities :

1. Develop and calibrate logistic regression, Bayesian hierarchical, and machine-learning (random

forest, 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.

Required / Minimum Qualifications :

1. Master’s degree in Economics (Econometrics), Statistics, Mathematics or a related quantitative field.

2. 2-3 years of relevant professional working experience with a strong focus on model building, model testing and forecasting; Alternatively, advanced degree holders with sufficient research experience may also apply.

3. Strong proficiency in Microsoft Excel, Word as well as G-Suites

4. Strong proficiency in any statistical software such as R / STATA / Eviews

5. Solid understanding of statistical concepts, statistical modelling, including bayesian frameworks and logistic regressions

6. Experience working with large datasets and relational databases

7. Excellent analytical, problem-solving, and organizational skills.

8. Strong communication skills, especially in interpreting data for non-technical audiences.

Preferred Qualifications :

1. Must have demonstrated ability to manage large data-sets simultaneously with a purpose of building hypotheses and inference testing.

2. Proven academic excellence / research experience in quantitative fields such as Econometrics, Financial Mathematics and Bayesian Statistics etc.

3. Model building experience in Python, R will be an advantage.

4. Experience with query writing and data automation related tasks (SQL, VBA etc) is a plus.

5. Ability to independently work on multiple projects and / or manage key requirements of internal

stakeholders.

6. Prior experience / Postgraduate experience in publishing academic research is a plus.