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Principal-Data Scientist

AT&T


Location:
Plano, TX
Date:
03/23/2017
Job Code:
att4-4054158
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Job Details

Company AT&T

Job Title Principal-Data Scientist

Jobid att4-4054158

Location: Plano, TX, 75026, USA

Description The Principal Data Scientist will be responsible for designing and implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. This role supports the Advertising Analytics and Audience Measurement team, and interfaces with various marketing, media and advertising functions within AT&T’s Entertainment Group.



Specific responsibilities and requirements of this opportunity include:



+ Use data mining techniques to reveal patterns in the data that have implications on the business decisions.

+ Explore content viewership data using tools such as Pig, Hive, R, Python to create insights that the business can use.

+ Progressively combine data science skills and knowledge with industry/business knowledge to derive and deliver innovative solutions to business partners.

+ Use machine learning techniques to build learning models that allow the organization to predict outcomes with business implications.

+ Continuously monitor industry trends in the data science domain and apply them to create innovative solutions.

+ Be adept at translating the meaning and significance of the insights.

+ Collaborate with other experts to constantly innovate.

+ Expert level competency with scientific data analysis methods, leveraging statistics, data modeling, anomaly and outlier detections, and machine learning methods for classification and deep learning for pattern recognition.

+ Strong communication and presentation skills are required to effectively convey relevant insights to teams.

+ Perform analysis, concept implementation, and creates detailed methodology descriptions for data research activities.

+ Provide documentation and skill mentoring to others.

+ Exercise judgement on how to effectively communicate highly technical and complex details through the use of visualization and careful selection of "knowns" vs "hypotheticals".

+ Provides technical expertise to peers across the company. Actively promotes good working relationships and collaboration across multiple teams within Big Data and across the enterprise. Ability to interface with and convey technical concepts and approaches to a non-technical/senior management audience



Qualifications:



+ Requires extensive specialized technical expertise

+ Preferred Masters of Science in Computer Science, Math or Scientific Computing; Data Analytics, Machine Learning or Business Analyst nanodegree; or equivalent experience.

+ Typically requires 10 or more years’ experience or PhD in an approved field with a minimum of 6 years of relevant experience. Knowledge of Advertising technology and ecosystem space a plus.



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