Senior Data Scientist

Required Skills & Experience - 7+ years of Data Science experience - Causal Modeling and Time Series modeling for financial analysis - Python coding/development - AWS - GitLab Nice to Have Skills & Experience - LOCAL TO CHICAGO - PhD economics or working with corporate finance (not hedge funds) - Financial planning analysis - Investor relations preparation (forecasting data for that). Nothing is analytics or insights, but predictive work for an algorithmic product. Pure Algorithmic product development. - Someone who came from core science (Physics, Math) or software engineering first Job Description: These Senior Data Scientists will be working at a large global hotel company. They will build models around causal modeling between different financial KPIs and how they impact each other, not just correlations but causation (Revenue is dependent on different things). Everything is from a time series lens (financial forecasting, causal inference, anomaly detection, outliers). They have a forecasting platform that they will work on, dozens of different of algorithms of time series predictions). Fold those into the platform (AWS). Doing a lot of work for finance, that is the focus area. Someone who has built causal models for finance. Products exist that need to be advanced, coming into the deep end of the project.