Economist/Core Data Scientist

Build and own end-to-end forecasting models, from scoping and feature engineering to deployment, monitoring, and improvement Partner with business teams to translate strategic questions into analytical frameworks Build and apply models for causal inference, forecasting, and optimization Analyze complex datasets, including geospatial and market data, to identify performance drivers Present clear, actionable insights to stakeholders Partner with business teams to translate strategic questions into analytical frameworks Minimum Qualifications Strong quantitative background in statistics, econometrics, machine learning, or applied mathematics Expert R/Python programmer also proficient in other languages important to the ETL data pipeline (e.g. SQL) Excellent verbal and written communication skills, in both Mandarin Chinese and English Preferred Qualifications Proven experience in applying predictive modeling, including time-series, probabilistic and machine learning methods, to translate technical outputs into actionable business decisions Hands-on experience deploying and maintaining models in production Ability to share results with a non-technical audience and advancing multiple projects at once on a tight schedule Industry experience as a senior data scientist with engineering or production-level coding experience.