Data Scientist

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Job Overview 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, mathematics, statistics, and programming. Perform data mining and statistical analyses on ad hoc business problems. 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 in a Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Required) Master's/Advanced Degree in a Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) Work Experience 2-4 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist 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) 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) Licenses and Certifications • At least 18 years of age• Legally authorized to work in the United States Travel Travel Required: No DOT Regulated DOT Regulated Position: NoSafety Sensitive Position: No Base Pay Range $86,300 - $155,700 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The actual starting pay will vary based on various factors, such as work location, qualifications, and experience. Benefits At T-Mobile, our benefits exemplify the spirit of One Team, Together! Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays, paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, and various voluntary insurance options. Eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to any protected status. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know. #J-18808-Ljbffr

Created: 2025-02-18