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Tier-1 employer, metro location, and mid-level seniority raise competition, but forecasting niche reduces applicant density.
High domain specificity: forecasting and econometrics demand specialized skills, limiting cross-industry transferability.
Requires advanced degree, 5+ years, forecasting/econometrics expertise, production ML experience, and Python/SQL, so filtering is strict.
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Design, implement, and refine advanced statistical and machine learning methods for accurate, scalable business forecasting.
Own end-to-end modeling lifecycle: scoping, feature engineering, model development, experimentation, deployment, monitoring, and explainability.
Collaborate cross-functionally to translate complex data into actionable insights and improve forecasting tools and processes.
Advanced degree (PhD or Masters) in Economics, Statistics, Operations Research, Data Science, Computer Science, Econometrics, Mathematics, or related quantitative discipline with 5+ years professional applied scientist experience.
Strong experience with time-series forecasting, econometrics, or related quantitative modeling techniques.
Proficiency in Python and SQL for data analysis, model development, validation, and deployment.
Role requires working onsite in Zillow India office approximately 80-100% of the time; candidates must live within a reasonable commuting distance to the office.
Experienced applied scientist with strong background in forecasting, econometrics, or time-series modeling applied in production settings.
Comfortable handling incomplete, delayed, or noisy real-world data and explaining complex analytical concepts to non-technical stakeholders.
Able to own and manage the full forecasting model lifecycle and contribute to scalable data solutions and cross-functional collaboration.