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Generalist Data Scientist title, metro location, and rolling hiring increase applicant density.
Strong politics and reputation domain fluency requirement makes background fit highly sensitive across industries.
Multiple mandatory technical skills, NDA requirements, and reproducibility standards create strict hiring filters.
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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.