Inventive Scientist (Labs - Data Science and AI Research) at AT&T Careers - AT&T Careers
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Inventive Scientist (Labs - Data Science and AI Research)

New York, New York

Overview

With eight Nobel prizes and an average of two patents a day, we have quite the reputation to keep up. AT&T Labs is where our brightest minds bring their ideas to incubate, test and execute. Computer Science students like you get the tools you need to help a global company constantly innovate while working alongside leaders in tech. And with that kind of team in your corner, there’s nowhere your ideas can’t take you.

  • New York City, NY; Bedminster, NJ; Middletown, NJ; Redmond, WA; San Ramon, CA; Palo Alto, CA
  • 10 weeks
    Apply: June
    Start: December – May
  • Intern I - Currently enrolled in a four-year Undergrad program or Graduate degree program.
    Intern II - Currently enrolled in a Ph.D. program.
    3.5+ GPA preferred
  • Education: Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Statistics and related technical major
  • Experience: Research, publication or graduate research assistant experience in one of the following areas: wireless, optical, IP communications, video processing, data science, data management, dependable distributed systems and information visualization

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Applicant Experience

Want to know what to expect? Here’s a breakdown of the typical application process.

  • Your experience can take between 4 – 6 weeks depending on location and time of year.
  • You may have to pass an assessment before moving on to the next step.
  • If you don’t pass on your first attempt, you’ll be eligible to retake your assessments after 6 months.
  • Your interview may be online. Make sure you have a strong connection and dress professionally.
  • Employee pre-screen

  • Initial interview

  • Final interview

  • Conditional job offer

  • Congratulations and welcome to AT&T!

Inventive Scientist (Labs - Data Science and AI Research)

New York , New York

Inventive Scientist in AT&T Labs - Data Science and AI Research
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:
Spatial and spatio-temporal data analysis- 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 mobility 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 to leverage modern streaming and storage technologies. One example is the AT&T collaborative coding project RCloud http://rcloud.social/.
Text mining - AT&T mines free-form text from millions of customer surveys, representative notes, and live chats as one way to manage our business in real time and include the customer perspective in everything we do. 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 http://nanocubes.net .
Predictive Modeling – We build models to predict customer behavior and sentiment, service disruptions, and event impacts.  Models serve to both target, and to gain insight into variable relationships, allowing analysts to positively affect business outcomes. Testing incremental gains from newer machine learning algorithms with minimal sacrifice in interpretability is an active and growing research area with publishing opportunities.
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 distortion while preserving maximal underlying variation, are essential to ensure meaningful big data analytics.
Please visit http://www.research.att.com to learn more about AT&T Research. 

Qualifications - Required
  • Experience and passion for finding solutions to real world, applied problems from complex datasets.
  • PhD or equivalent in a data science field, including these most commonly:  Statistics, Computer Science, Machine Learning, Operations Research, Engineering, and Mathematics. 
  • Established aptitude for applied research as demonstrated through publications, new research techniques, open source contributions, internship experience, or patents.
  • Demonstrated ability to generate new ideas, and develop them from your concept to a solution.
  • Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data.
  • Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience.
  • Qualifications - Preferred
    • Expertise working with large industrial scale data sets.
    • Accomplished programmer with experience in any of R, Python, C/C++, and Java. 
    • Experience with modern data management and analytic tools (e.g. Hadoop, NoSQL, Tensorflow, Keras, Spark).
    • Work location can be Bedminster, NJ or New York, NY.  Qualified candidates will be asked to submit a Research Statement and 3-5 references.

Job ID 1752282-1
Date posted 07/26/2017

Great place to grow and contribute at the same time.

Pros

Flexibility, personal growth, and the ability to make a positive impact on the lives of people around me (even if they don't see it).

Cons

It can sometimes feel a little sluggish because the company is very large and this cannot perform changes as fast as one may desire.

Current Employee - Senior Specialist- Technical Development Program
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