general summary under minimal supervision responsible for modeling complex business problems and discovering business insights through the use of advanced statistical algorithmic mining and visualization techniques the data scientist designs experiments and methodologies to generate collect and activate data for business use essential functions proactively mines data to identify trends and patterns and generates insights for lobs and senior leadership leads partnership with lobs to identify strategic business questions and issues for data analysis and experiments guides and inspires the organization about the business potential and strategic application of artificial intelligence and data science collaborates across the enterprise to understand it and business constraints and applies advanced analytics solutions accordingly prioritize scope and manage data science projects and corresponding key performance indicators for success assists in leading the data science team assigns advanced analytics tasks and data science projects to other data scientists assists in defining and communicating enterprise data governance principles performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns leads research and implements cuttingedge techniques and tools in machine learningdeep learningartificial intelligence to make data analysis more efficient and to create new datadriven capabilities and insights constructs predictive models algorithms and probability engines to support data analysis or product functions verifies model and algorithm effectiveness based on realworld results develops frameworks and processes to analyze unstructured information collected through social media platforms as well as traditional sources such as email and sharepoint proactively researches and applies knowledge of existing and emerging data science principles theories and techniques to inform business decisions serve as an analytics expert sought after for expertise and guidance for the most complex and advanced analytic challenges to fulfill alignment between business and analytical needs supports user experience specialists and information architects to enhance information visualization through the development of dashboards and user interfaces stays abreast of emerging trends and shares best practices to analytics and product teams and provides consultations for their databased experimentations trains other business data science and it staff on basic data science principles and techniques job specifications typically has the following skills or abilities bachelors degree in computer science data science statistics economics operations research applied mathematics or related functional area or equivalent experience masters degree preferred twelve years data analytics andor data science experience required preferably in successfully launching planning and executing data science projects in two or more of the following domainsbusiness functions risk modeling customer behavior prediction customer journey analytics marketing analytics target marketing churn management ecommerce platforms financial risk analytics logisticssupply chain with a masters degree or higher eight or more years of relevant experience required experience building and deploying predictive models web scraping and scalable data pipelines specialization in using statistical modeling and machine learning to solve complex business problems experience working across multiple deployment environments including cloud onpremise and hybrid experience in one or more of the following data discoveryanalysis platforms such as rstudio knime rapidminer sas enterprise miner sas visual data mining microsoft azureml ibm watson