We are looking for a Full Stack Data Science and Analytics professional to join our team. This is a hybrid role designed to bridge the gap between deep statistical modeling and agile product growth. The ideal candidate will handle the end-to-end data lifecycle: from maintaining robust data ingestion/quality to building sophisticated predictive models and leading product experimentation (A/B testing) to drive user engagement and business efficiency.

Your ‘day to day’: 
1. Data Science & Modeling
● Predictive Modeling: Create predictive models, statistical reporting, and data analysis methodologies to identify trends in large, complex datasets.
● Cross-Functional Application: Apply analysis to various areas of the business, including but not limited to Market Economics, Supply Chain, Marketing/Advertising, and Scientific Research.
● Forecasting: Use predictive and prescriptive analytics tools to forecast business outcomes using probabilities and defined confidenc...