Engineer 3, Enterprise Data Analytics and Data Intelligence-4427

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Job Description

DUTIES:                               Contribute to the team responsible for performing ETL (extract transform and load) and EDA (exploratory data analysis) on data sets to extract relevant insights from large amounts of data; develop machine learning models and analytics using Python, R, and SQL; use Spark with AWS EMR and Databricks, and use AWS Lambda; use Keras, TensorFlow, Scikit.learn, and NLP for machine learning; develop models capable of processing millions of events per second and multi-billions of events per day; work closely with various engineering teams to solve key optimization, insight and network access challenges; build and optimize classifiers using machine learning techniques; integrate data from multiple sources including third party sources; perform data mining; enhance data collection procedures;  develop actionable quantitative models in the areas of effectiveness, ROI, pricing and optimization; do ad-hoc data analysis and present results in a clear manner; create automated anomaly detection systems and track performance; and develop and communicate goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals. Position is eligible for 100% remote work.

REQUIREMENTS:             Bachelor’s degree, or foreign equivalent, in Data Science, Business Analytics, Statistics, Mathematics, or any related quantitative field, and two (2) years of experience developing machine learning models and analytics using Python, R, and SQL; of which one (1) year includes using Spark with AWS EMR and Databricks, and using AWS Lambda; and using Keras, TensorFlow, Scikit.learn, and NLP for machine learning.

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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