Be unstoppable with us! T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop! As a Senior Data Scientist, you are responsible for driving strategic questions through the application of statistical modeing and machine learning. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. You must demonstrate expertise across problem framing, data collection, exploratory data analysis, model development, and performance measurement. Essential to this role is the recognition that a Senior Data Scientist stands as a pillar of technical expertise and leadership, guiding the Strategy team to convert data into actionable insights, thereby sharpening the decision-making process. Job Responsibilities: Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming. Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company. Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members. Work with engineering teams to implement and improve machine learning pipelines and production-ready models. Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills. Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company. Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members. Work with engineering teams to implement and improve machine learning pipelines and production-ready models. Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills. Also responsible for other Duties/Projects as assigned by business management as needed. Education: Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required) Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) Work Experience: 4-7 years of Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models. 4-7 years of experience with data scripting languages (e.g., SQL, Python, R) 2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data 4-7 years Experience in data visualization 4-7 years Experience working with relational database using SQL 2-4 years Experience in the telecom industry Knowledge, Skills and Abilities: Mathematics: Calculus, linear algebra, statistics, and probability (Required) Programming: Expertise in Python and SQL (Required) Machine Learning: Expertise applying machine learning concepts and techniques related to supervised an