In AT&T Labs' Data Science and AI Research organization, we tackle some of the world's biggest and richest datasets to enable industry-leading services and deliver superior customer experiences. As a pioneer in big data technologies, we offer challenging research opportunities in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, and data privacy.
We focus on the company's most challenging business problems that inspire exciting research opportunities, across diverse areas such as advertising, mobility network data, and video and multimedia analytics. Our researchers work directly with business unit leaders to directly impact AT&T's products and services. All have opportunities to invent novel, publishable methodology that address real-world problems. Increasingly we contribute to multiple data science disciplines through open source software projects, led by AT&T.
Our Inventive Scientists are typically hired as recent PhD graduates or early career researchers. They are on a path to be technical leaders in their field. An AT&T Labs Research career allows them to establish external recognition while creating innovative, business-impacting solutions. Researchers with 5+ years of relevant experience may be considered for a more senior position.
We encourage applications from candidates with experience and strong interest in any of these areas:
Please visit http://www.research.att.com to learn more about AT&T Research.
Work location can be Bedminster, NJ or New York, NY. Qualified candidates will be asked to submit a Research Statement and 3-5 references.
Please complete this on-line application at the AT&T corporate site. Please choose a preferred location. The applications are identical, and the location choice is flexible. You may be contacted and asked to submit a Research Statement and references.
AT&T is an Affirmative Action/Equal Opportunity Employer, and we are committed to hiring a diverse and talented workforce. EOE/AA/M/F/D/V.