Data Scientist

Own end-to-end modeling including problem framing, model design, validation, and client deliverables for live engagements in electoral trajectory, sentiment, and risk forecasting.

Develop segmentation and targeting models, experimental and quasi-experimental measurements to differentiate real reputation movement from noise.

Maintain reproducibility standards, conduct post-mortem analysis of forecast misses, and mentor interns and junior analysts to build modeling capacity.

Full-time, permanent position based in New Delhi, immediate joining required.

Proficiency in production-grade Python with libraries such as pandas, scikit-learn, statsmodels, and advanced SQL for large data warehouses.

Proven statistical rigor including hypothesis testing, regression, Bayesian methods, and experimental design in field conditions.

Work Experience Required: Not explicitly mentioned in the JD.

Experienced in modeling live forecasting engagements with accountability for validated client-facing outputs and maintaining high predictive accuracy.

Skilled at constructing reproducible, version-controlled models with precise method documentation and able to conduct thorough post-mortem analyses.

Capable mentor who supports intern and junior analyst development; comfortable working across political, reputation, security, and finance domains under NDA-grade confidentiality.