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.As a Principal, Data Scientist you will be responsible for overseeing the collection, storage and interpretation of data for the Consumer Ecosystem Health team. Duties include sifting through data points to create organized categories, comparing data points to current company processes, creating/testing/deploying AI/ML models and writing reports outlining business predictions or proposals.What you'll do:- Collecting data through means such as analyzing business results or by setting up and managing new studies- Transferring data into a new format to make it more appropriate for analysis- Creating new, experimental frameworks to collect data- Building tools to automate data collection- Searching through large data sets for usable information- Creating reports and presentations for business uses- Correlating similar data to find actionable results- Working with project managers to establish objectives for AI systems- Creating AI algorithm prototypes based on project specifications- Running tests to assess AI performance- Analyzing data gathered during tests to identify strengths and weaknesses of AI- Implementing changes to algorithms to improve AI performance- Troubleshooting and addressing problems with deployed AI to improve user experience- Documenting all steps in the development process- Remaining up to date on the latest innovations in machine learningRequirements for this opportunity:- Advanced English Level- Ability to communicate complex data in a simple, actionable way- Ability to visualize data in the most effective way possible for a given project or study- Experience with machine learning and AI- Familiarity with data management tools- Ability to work independently and with team members from different backgrounds- Rigorous knowledge of R, Java and Python programming to develop software- In-depth knowledge of machine learning data structures and modeling, software architecture, libraries and frameworks to create AI that accomplishes outlined goals- Strong mathematics skills, especially in statistics, to create algorithms- Effective oral and written communication skills to collaborate with others and write detailed, easy-to-read reports- Advanced analytical skills to interpret test results and performance metrics- Creative thinking skills to come up with new solutions and approaches- Sound problem-solving skills to refine prototypes and troubleshoot performance issues