1634-Data Scientist 2

Comcast Business offers technology solutions ranging from Ethernet, internet, and WiFi connectivity to voice, television, and managed Enterprise solutions to power businesses of all sizes to perform better. From small businesses to mid-market and large Enterprise organizations, Comcast Business serves business customers across the country. Powered by an advanced, Gig-speed network and backed by 24/7 technical support, Comcast Business is one of the largest contributors to the growth of Comcast Cable. The organization is the nation's largest cable provider to small and mid-size businesses and has emerged as a force in the Enterprise market, recognized by leading industry associations as one of the fastest growing provider of Ethernet services.

Job Summary

Job Description

DUTIES: Contribute to the team responsible for maintaining multiple databases and Tableau sites in support of service delivery and service assurance operations, budgeting, forecasting, and analysis; develop and maintain databases and analysis tools that leverage internal and external data to provide insights; provide input into strategy, analysis methods, tools selection and data governance; write ETL (Extract, Transform, Load) scripts to manage and maintain data flows from order management system and ticketing systems for reporting and analysis; govern SQL for ETL jobs, server jobs, stored procedures, SSIS jobs and ensure availability of linked servers; use Python to extract data from APIs; build, modify, and use artificial intelligence (AI) and machine learning (ML) models, including random forest, neural networks, and XGBoost, for predictive and time series modeling to produce analysis of patterns in customer behavior and product performance from complex data; conduct network data analysis, forecasts, workforce justification, and other strategical and tactical plans and recommendations; build customer centric models and optimization tools; create deliverables and presentations that report methodology and results of analysis.

REQUIREMENTS: Master's degree (or foreign equivalent) in Data Science, Business Analytics, Statistics, Mathematics, or any related quantitative field; and one (1) year of experience using SQL for ETL jobs; using Python to extract data from APIs; managing Tableau sites; and performing timeseries forecasting. Experience may be gained before, during, or after completion of the Master's degree.

Disclaimer:

This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

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