Where Work Meets Adventure
The Semi Senior Data Scientist will help develop solutions for digital marketing use cases using statistical, data mining methods, and data engineering solutions, working closely with our Analytics and Solutions Engineering teams. The semi senior data scientist should be a data specialist with experience in propensity modeling, clustering analysis, churn analysis, product recommender systems, and descriptive analytics. The candidate will participate in all technical phases of internal research & development and client projects, including data discovery, data engineering, model development, and/or data mining, and evaluating options, as well as project definition, tasks planning, estimation, and client recommendations.