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AT&T Labs – Research: Statistician/Data Scientist

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Strong data scientists with a passion for digging into data and extracting knowledge through analysis and visualization, to work on problems that cut across network management, customer analytics, operations research, and other aspects of our business.



AT&T Labs At: AT&T Labs - Research
Location: Bedminster, NJ and Manhattan, NY
Web: stats.research.att.com


Background
AT&T is the largest telecommunications company in the world. With over 100 million subscribers, the largest Wi-Fi network in the US, and millions of customers for our IP television and high speed Internet services, we generate some of the largest data sets in the world. We want you to help analyze them!!

The Statistics Research department, part of AT&T Labs, develops new analytic methods for massive data sets to learn about our customers, understand our products, and improve our operations. We are a pioneer in big data technologies - leading our industry in novel methodology for fraud detection, customer profiling, statistical computing and visualization, and streaming data analysis.

Job Description

We are looking for strong data scientists with a passion for digging into data and extracting knowledge through analysis and visualization. We work on problems that cut across all aspects of AT&T's business: network management, customer analytics, operations research, and other aspects of business analytics. In the tradition of the famous AT&T Bell Labs, you will have opportunities to invent novel, publishable methodology that advances the field of data science and addresses real-world, practical problems. We work closely with other world-class Research colleagues in machine learning, visualization, networking and computer science, and also hand in hand with business units outside of Research.

For more information about our work, located in our Bedminster, New Jersey and Manhattan locations, see stats.research.att.com/research.php .

We are looking for strong candidates from the fields of statistics, machine learning, or other quantitative data science fields. Some specific immediate needs include:
  • Spatiotemporal analysis of mobile data. Our mobile network generates billions of records a day from handheld devices, each one providing a data point in time and space. Understanding the dynamics of this data through time series and spatial statistics helps us to best serve our customers, improve our network, and develop new services.
  • Analysis of unstructured data. We analyze large amounts of nonstandard data-text, video, speech, etc.-that is important for our business.
  • Statistical computation and visualization. New methods are required to apply statistical techniques on modern massively parallel architectures like Hadoop. We are developing high-performance statistical models and algorithms (mostly in R) for today's streaming and big data applications. Visualization is a key aspect to all of our analyses and we have very strong ties to the information visualization department (www.research.att.com/groups/infovis).

 
  _Contact_:
Apply online here.

All applicants should have a Ph.D. or equivalent in Statistics, Machine Learning, or other related quantitative data science fields. Candidates must have established excellence in research, and show a passion for finding solutions to real world, applied problems. Experience with large data sets, and the ability to use software tools to manipulate the data and build implementations of your ideas is crucial.

Please carefully follow the Application Process posted at stats.research.att.com/employment.php.

Only complete applications with three letters of reference and a Research Statement will be considered.

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