SemiSeniorDataScientist

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). Semi Senior Data Scientist 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 some experience in the deployment of propensity modeling, clustering analysis, churn analysis, product recommender systems and descriptive analytics. The candidate can expect to 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. It is also expected some participation in the organizational phases of projects such as project definition, tasks planning and estimation, making recommendations for the client. Responsibilities Nurture client understanding of the importance of building & testing data-driven strategies. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Use statistical analysis and machine learning libraries (Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions. Deploy cloud resources (GCP, Microsoft Azure, AWS, or other) to perform analysis on large data sets. Create ML pipelines models from data-wrangling to getting it into production. Utilize data visualizati