Job Description

Job Description:In our People Analytics team at AT&T, we are committed to leveraging data-driven insights to foster a culture of innovation, enhance employee experiences, and drive strategic decision-making across all levels of our organization. As part of this team, you will play a pivotal role in unlocking the potential of our workforce data to shape the future of our workplace. Job Overview: The Sr. Specialist Data Scientist is a dynamic role that bridges the gap between business challenges and technical solutions. This position involves a comprehensive workflow that includes data extraction, cleansing, feature engineering, exploratory data analysis, model development, tuning, interpretation, and deployment. The successful candidate will be adept at translating complex business problems into actionable insights through advanced analytics and machine learning techniques. Key Roles and Responsibilities:Apply statistical design of experiments, including factorial, response surface modeling, Plackett-Burman, central composite designs, and Box-Behnken, to validate proofs of concept in a production environment.Guard against selection and emergent bias, ensuring the integrity of simultaneous trials without interference.Demonstrate a solid understanding of both basic statistical concepts and the theoretical foundations of advanced techniques.Design, build, and analyze large and complex datasets from diverse sources, with strategic consideration for data utility and architecture.Show proficiency across a range of algorithm categories, such as Supervised and Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, and more.Exhibit coding proficiency in at least one core data science language (e.g., Python, R, Scala, SQL) and familiarity with leading ML packages and libraries (e.g., SciKitLearn, Pandas, PyTorch, Tensorflow).Possess knowledge of cloud AI technologies and the ability to implement AI solutions within a guided architecture.