The WW Operations Finance Analytics team is responsible for providing description, predictive and prescriptive analytics to boost financial reporting and forecasting. We are part of the fastest growing supply chain in the world and are building a finance analytics engine to suit. This is an exciting place to work, and provides a significant opportunity to influence senior leaders through science backed data. As a Data Scientist, your work is focused on driving analytics and developing algorithms that provide insights into long term costing and revenue trends impacting our business. You will leverage your deep expertise in analytics - from theory-driven classic statistics to data-driven supervised and unsupervised ML models - to identify historical drivers of performance and develop advanced statistical growth forecasting models. You will partner with colleagues across Data Science, Finance, Economics, Software Dev, Business Intelligence and related teams to enable Operations engage ML to
- Master's degree in a discipline with predominantly quantitative aspects, e.g. data science, statistics, or a quantitative research degree. - Knowledge of a variety of quantitative modeling techniques, e.g., logistic regression, decision trees, SVMs, neural networks, graph theory - Proficiency in command line tools. - 3+ years experience in R or Python. -SQL experience 3+ years; experience with Redshift preferred. -Experience with algorithm development - Demonstrated experience working with new technology while working closely with research scientists, software developers, and technical professionals