Analytical Flavor Systems

Analytical Flavor Systems uses machine learning and artificial intelligence to model human sensory perception of flavor, aroma, and texture, to predict consumer preferences. We help companies develop new products, optimize existing brands, and enter new markets with the best tasting foods and drinks for each target demographic around the world. Analytical Flavor Systems' (AFS) capabilities are evolving as we automate our prediction and reporting workflow on a new data platform. The data science team is responsible for all data applications including model building, model testing, benchmarking, data visualization, and model performance. Analytical Flavor Systems empowers the data science team to own all phases of the model development process. On a day-to-day basis, you will work in one or more of these areas: -Develop new models for new predictive capabilities -Test, train, update, or re-architect existing models with new data and research -Develop new interactive data visualizations for the customer reporting platform -Push the boundaries on sensory data applications by expanding our technological reach into new areas -Working with the data engineering and application engineering team to understand client requirements and translate requirements to model capabilities. -Build reusable code and develop technical documents to represent new features. Our current stack -Postgres for database -AWS for cloud resources -R for model building Technologies used elsewhere in the company -Kubernetes, Clojure, Datomic, Argo, Terraform