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Analytical Flavor Systems | Manhattan - NYC | Full-Time | Onsite | http://www.Gastrograph.com/ Positions: Full-Stack Engineer, Data Scientists, R&D Product Formulator / Scientist Overview: Gastrograph AI is an artificial intelligence platform for modeling human sensory perception of flavor, aroma, and texture to predict consumer preferences of food & beverage products. We help food and beverage companies develop new products, enter new markets, and optimize their existing brands. We're a diverse 12 person post Series-A startup. Application & Data Stack: Javascript, React & React Native, Java, GraphQL, Spark, R, postgres/MySQL, AWS The Position(s) _Data Science_: We didn't build a data science team to optimize our product's marketing spend, sales funnel, or client retention – we built a data science team to build our product. Our Data Science team develops new models and algorithms from scratch to make second-order inference on sparse data sets from non-representative samples that generalizes to the underlying target population. We rely on cutting edge models such as persistent homology, PU Learning, and metric learning to make predictions on non-eucldian human sensory data. We don't use tensor flow or pandas or keras as they are not a good fit for our problem space. We prefer a deep understanding of math and stats VS experience running logistic regressions in Python. (but we're cool with Python / Logit / experience) _Engineering_: (1) full stack engineers with experience with React, GraphQL, and React Native to work on our web app for clients and our mobile app for tasters. (2) Data-Engineers with experiance in micro-batch processing for machine learning pipelines. Next Steps: please contact Jason Cohen at JasonCEO@Gastrograph.com to apply.