Manager - Statistics and Forecasting

Manager- Statistics and Forecasting

Location: Bangalore-Hybrid

Team: Statistics and Forecasting

Department: Analytics

About the Company:

Kamakhya Analytics is a technology-driven research and consulting organisation helping leaders, parties, and institutions decode India's 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 an experienced and methodical candidate to lead and own delivery end to end for the Statistics and Forecasting Team. The right candidate will be actively involved in model development, validation, and quality assurance while also setting direction for the team, managing workstreams, and communicating outputs to senior stakeholders

Key Responsibilities:

• Manage, mentor, and develop a team of statisticians, setting clear objectives and maintaining output quality.
• Plan and prioritise workstreams across concurrent projects, ensuring timelines and standards are met.
• Develop, calibrate, and refine statistical models; including forecasting, regression, hierarchical, and Bayesian frameworks.
• Conduct model diagnosis, testing, and validation using appropriate statistical methodologies.
• Lead hypothesis testing workflows: define objectives, develop best practices, and translate outputs for non-technical audiences.
• Collaborate with engineering and reporting teams to ensure model reproducibility and scalability.
• Own end-to-end delivery of statistical forecasts, dashboards, research reports, and team deliverables.

Required/Minimum Qualifications:

• Master's degree in Statistics, Econometrics, Mathematics, or a closely related quantitative field.
• Minimum 5-8 years of relevant professional experience with a strong focus on statistical modelling, forecasting, and inference.
• Demonstrated experience managing or leading a team of analysts or statisticians.
• Strong working proficiency in R and/or STATA; familiarity with SPSS or EViews is acceptable.
• Solid command of inferential statistics, linear and non-linear regression.
• Hands-on experience with hierarchical models, time series, and panel data.
• Experience working with large datasets and relational databases.
• Strong communication skills- able to interpret and present statistical findings clearly to non-technical audiences.