Data Scientist & Research Support Analysis Position (AT&T Labs Research)

In AT&T Labs' Big Data Research organization, we develop new methods for massive data sets to learn about our network and our customers, understand products, and improve services and operations. We are a pioneer in big data technologies - leading our industry in novel methodologies for fraud detection, service quality management, statistical computing, visualization, text mining, data stream management, and privacy preserving measures such as data anonymization.

We are looking for strong researchers and analysts in a data science field with a passion for digging into large data sets and extracting knowledge through data analysis, management, and visualization. We work on problems that cut across all aspects of AT&T's business: network and service management, customer analytics, operations research, and other aspects of business analytics. The selected candidate(s) will have opportunities to invent novel, publishable methodology that advances the multidisciplinary fields of data science and addresses real-world problems. Additionally, the selected candidate(s) will have opportunities to contribute to these fields through open source projects, led by AT&T.

The selected candidate(s) will work closely with other researchers in cloud technologies, service quality management, natural language processing, and also hand-in-hand with various AT&T business unit leaders.

Desired areas of expertise:

  • Spatiotemporal analysis of mobile data - The AT&T network generates billions of records per 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 AT&T better serve its customers, improve its network, and develop new products and services.
  • Statistical computation - AT&T is developing high-performance statistical models and algorithms (mostly in R) to leverage modern streaming and storage technologies. One example is the AT&T collaborative coding project RCloud (https://github/com/att/rcloud).
  • Text mining and unstructured analytics - AT&T is modeling free-form text from millions of customer surveys and representative notes as one way to manage our business in real time. New methods are needed to keep up with the volume and complexity of this data.
  • Data visualization - AT&T creates algorithms, systems, and techniques for visualizing new data sets at increasingly large scale. AT&T is especially interested in interactive visualization of very large geospatial and temporal data. One example is our open source project Nanocubes (
  • Database management and data quality - AT&T is building high-performance and low latency systems to manage high velocity data streams. These systems are critical for accurate processing and analysis of data from the AT&T mobile network. Analyzing the data to identify glitches, and cleaning the data to minimize the distortion introduced, are essential to ensure meaningful big data analytics.


Required Qualifications


  • Candidate shall have a PhD or Master's degree in an approved field from an accredited university and a minimum of 0 - 6 years of relevant experience. A PhD is strongly preferred for Researcher candidates.
  • Degree such as Statistics, Computer Science, Machine Learning, Electrical Engineering, Computer Engineering, or Mathematics from an accredited university.
  • Entry into this title will require Technical Title Plan (TTP) Board Approval.
  • Experience and passion for finding solutions to real world, applied problems. In addition for Researchers, a history of established excellence in applied research through publications, new research techniques, patents, etc.
  • A history of established excellence in research with a passion for finding solutions for real world, applied problems through publications, new research techniques, patents, etc.
  • Demonstrated expertise working with large industrial scale data sets and extracting useful actionable insights from that data.
  • Capable of presenting outcomes of analytic models and iterations in a format easily understood by a non-technical audience.
  • Experience working with very large data sets, and the ability to use software to manipulate data and build implementations of new ideas.
  • Expert-level skills and abilities within field of knowledge and demonstrated ability in developing new ideas from inception to prototype.
  • Accomplished R programmer.
  • Experience with modern data management systems like Hadoop, NoSQL, Spark, etc.




Bedminster, NJ


Important Dates

Our recruiting season begins in October and we will begin interviews in January. Applications will be reviewed on a continuous basis, until positions are filled.


Selection Process

Note that candidates' applications and credentials are reviewed throughout the recruiting season. During this time, you may receive an email or phone call from a technical staff member to discuss your application. At that time or at a later date, you may receive an invitation to interview in person. An interview visit is typically one to two days in length. During your visit, you will give a one-hour lecture on your research and meet with technical staff members individually or in small groups.

Unfortunately, due to the large number of applications, not each applicant will be contacted individually.

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


How to Apply

Complete this on-line application at the AT&T corporate site:

  • Provide your basic contact information
  • Upload your CV (additional fields will be populated automatically from your CV)
  • Basic profile: Answer questions labeled with (*)

If you have any problems with the above link, please email Amy Messina.