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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 Data Scientist, you are responsible for applying machine learning techniques and statistical methods to solve business problems. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. You must be able to work across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement. Paramount to this job is the understanding that a Data Scientist's ultimate goal is to create real business value from data. Job Responsibilities: Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory (large language models (LLM) and Gen AI are a big plus), mathematics, statistics, and programming. Perform data exploration and statistical analyses on ad hoc business problems using Python (Pandas, Scikit-Learn, PySpark) and SQL. Define problems in mathematical terms. For example, "Why is product feature X underperforming?" and "What data on user behavior might help explain it?" Communicate important information and insights to business leaders using verbal, written, and data visualization skills. Education: Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Required) Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred) Work Experience: 2-4 years Industry experience in predictive modeling, data science, and analysis in a data scientist, machine learning scientist or a relevant role (Required) 2-4 years Experience with data scripting languages (e.g., SQL, Python, R) (Required) 2-4 years Experience in data visualization (Required) 2-4 years Experience developing statistics-based analytics reports (Preferred) 2-4 years Experience in the telecom industry (Preferred) 1-2 years of Experience with large language models (LLM) and Gen AI (Preferred) Knowledge, Skills and Abilities: Mathematics Calculus, linear algebra, statistics, and probability (Required) Programming Working knowledge of Python and SQL (Required) Machine Learning: Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required) * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Washington Pay Range : $112,200.00 - $151,800.00 The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance, while Retail and Business Sales roles are eligible for monthly or qu