Java Programming, Python Programming, SQL, Scala Programming, Machine learning techniques, Data science techniques, Data Visualization, Deep Learning, Keras software library, Pandas, PyTorch, TensorFlow, Apache Hive, R Programming, R-Shiny, Data Analysis, Tidyverse
Join AT&T and reimagine the communications and technologies that connect the world. We’re committed to those who seek to discover the undiscoverable and dare to disrupt the norm. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future – you’ll create it.
The Data Scientist translates business problems to insights and codes solutions using the following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions.
Key Roles and Responsibilities
Designs, builds, and analyzes large (e.g. 100s of Terabytes or higher as technology advances) and complex data sets from various structured and unstructured sources while thinking strategically about data use and data design. Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, AI- Knowledge Graphs. Coding proficiency required in at least one data science language (Python, R, Scala, and SQL), as well as expertise with modern ML packages and libraries (SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools). Proficiency in cloud AI technologies desired, as this position implements AI solutions within the target AI architecture led by the Data Council/Data Review Board. Ability to organize and crisply communicate insights from analysis of large data sets in an intuitive manner to non-technical business partners. The data models created may be used internally and by business units to solve business problems, create income generating models, or to identify improved business processes for cost savings opportunities.
Qualifications
AT&T Inc. is an American multinational conglomerate holding company, Delaware-registered but it is headquartered at Whitacre Tower in Downtown Dallas, Texas. It is the world’s largest telecommunications company, and the second largest provider of mobile telephone services.