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About
Comcast is a Fortune 30 global media and technology company seeking a Machine Learning Engineer 1 to join their technology team. The role involves collaborating with peers to develop machine learning algorithms, analyzing solutions, and contributing to the software development process.
Responsibilities : • Building a strong intuitive understanding of the problem domain (Next Generation Access Networks). Identify testable hypotheses to explain interesting phenomena in this domain. • Integrating data from multiple sources including third party sources. • Data mining using state-of-the-art methods • Developing actionable quantitative models in the areas of effectiveness, ROI, pricing and optimization. • Doing ad-hoc analysis and presenting results in a clear manner • Creating automated anomaly detection systems and constant tracking of its performance • Creating automated evaluation environment of complex models and constant tracking of relevant performance
Qualifications : Required : • College degree in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline. • Understanding of machine learning techniques and algorithms, especially in the deep learning area -- both theoretical underpinnings and craft (Systems such as Tensorflow, Theano, Caffe, scikit.learn and their APIs). • Applied statistics skills and understanding of probability distributions, statistical testing, regression, etc. • Experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable. • Great communication skills. • Experience with data visualization tools, such as D3.js, GGplot, Matplotlib, etc. • Comfortable in using query languages such as SQL and Hive. • Bachelors Degree • 0-2 Years of relevant work experience.
Company :
As a global media and tech company, Comcast reaches hundreds of millions of customers, viewers, and guests with world-class connectivity and platforms and beloved content and experiences. Founded in 1963, the company is headquartered in Philadelphia, USA, with a team of 10001+ employees. The company is currently Late Stage.
Languages
- English
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