Sr. Data Scientist-3281

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

Job Description

DUTIES:                               Develop and execute statistical and mathematical solutions to business problems by using statistics techniques including Random Forest, Regressions, Clustering, and inferencing to perform statistical analysis and inference on datasets; write code in Python, Pyspark, and SQL to pull data and develop models; use AI Machine Learning techniques including XGB, Transformer, and LSTM, to make quantitative predictions; perform statistical analysis on customer experience data; program in cloud environments, including using AWS and Databricks; use Github, Jira and Confluence; frame problems, develop roadmaps, and communicate intended approaches and quantitative methods to develop solutions; improve products and services or solving problems using best practice and knowledge of internal and/or external business issues; use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models); build customer-centric models and optimization tools to support large-scale projects that utilize online & offline data, structured & unstructured data, set-top box data, and media/behavioral/attitudinal data; develop and deploy predictive models based on historical data that provide future predictions about employee behavior; and construct forecasts, recommendations, strategic/tactical plans based on applying data science techniques to business data. Position is eligible for 100% remote work.

REQUIREMENTS:             Master’s degree, or foreign equivalent, in Computer Science, any Engineering, or related technical field, and one (1) year of experience using statistics techniques including Random Forest, Regressions, Clustering, and inferencing to perform statistical analysis and inference on datasets; writing code in Python, Pyspark, and SQL to pull data and develop models; using AI Machine Learning techniques including XGB, Transformer, and LSTM, to make quantitative predictions; performing statistical analysis on customer experience data; programming in cloud environments, including using AWS; and using Github, Jira and Confluence
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.

Skills

Performing Statistical Analysis, PySpark, Random Forest

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