Shire Jobs

Contribute to a team responsible for analyzing large amounts of data to understand how the company can improve its products; perform statistical analysis on Media and Entertainment industry data; design and run experimental large-scale A/B tests; develop, scale and deploy machine learning models into production environment; work with Big Data tools including Spark, Hadoop, Hive, and AWS Cloud; use Python, Java and Scala; use machine learning techniques and advanced analytics techniques including Regression algorithms, Clustering, Natural Language Processing, Ensemble Modeling, Time Series Analysis, Simulation, and Optimization; design and develop LookML models, explores, dashboards, and workflows in Looker platform; work within the entire data science project life cycle and its phases, including data acquisition, data cleaning, data engineering, features scaling, features engineering, statistical modeling, testing and validation, and data visualization; develop and execute statistical and mathematical solutions to business problems; frame problems, develop roadmaps, and communicate the intended approach and quantitative methods to develop solutions; build customer centric models and optimization tools to support large scale projects that utilize online and offline data, structure and unstructured data, set top box data, and media, behavioral, and attitudinal data; develop and deploy predictive models based on historical data that provide future predictions about customer behavior; build and improve internal data analysis tools; construct forecasts, recommendations, and strategic and tactical plans based on applying data science techniques to business data; leverage internal and external data to provide insights and information that support a facts-based decision making process; and provide input into strategy, data analysis methods, and tool selections. Position is eligible for 100% remote work.

REQUIREMENTS: Master's degree, or foreign equivalent, in Data Science, Analytics, Finance, Statistics, Mathematics, Computer Science, or any related quantitative field, and one (1) year of experience performing statistical analysis on data; designing and running experimental large-scale A/B tests; developing, scaling and deploying machine learning models into production environment; working with Big Data tools including Spark, Hadoop, Hive, and AWS Cloud; using Python, Java, and Scala; using machine learning techniques and advanced analytics techniques including regression algorithms, Clustering, Natural Language Processing, Ensemble Modeling, Time Series Analysis, Simulation, and Optimization; designing and developing LookML models, explores, dashboards, and workflows in the Looker platform; and working within the entire data science project life cycle and its phases, including data acquisition, data cleaning, data engineering, features scaling, features engineering, statistical modeling, testing and validation, and data visualization.*

PLEASE SEND RESUMES TO JOB_CANDIDATES@COMCAST.COM AND REFERENCE JOB ID # 7108 WHEN APPLYING FOR THIS POSITION.