Senior Statistician

Role : Senior Statistician

Location: Bangalore-Hybrid

Department/Team: Modelling, Pattern Recognition and Insights

About the Company:

Kamakhya Analytics is a technology-driven research and consulting organisation helping leaders, parties, and institutions decode Indias political and policy landscape.

We bring together survey science, data analytics, and strategic insight to answer complex questions about public opinion, governance, and performance. From ground-level fieldwork to advanced modelling and interpretation, every project is built for clarity, accuracy, and impact.

Our teams manage the complete research cycle design, execution, data engineering, and delivery under a single framework of discipline, transparency, and speed. Quality and integrity define our work. We apply rigorous controls in sampling and verification, maintain secure and reproducible data systems, and communicate results that withstand scrutiny.

At Kamakhya, our mission is simple: turn evidence into strategy and insight into action.

Job Summary:

We are seeking a detail-oriented and methodical Senior Statistician 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. Masters degree in Economics (Econometrics), Statistics.

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.