Job Overview This role leads the application of machine learning techniques and statistical methods to address complex business challenges effectively. It involves collaborating with diverse technical and non-technical stakeholders to deliver data-driven solutions. The role requires expertise across the entire machine learning lifecycle, including problem framing, data collection, model development, deployment, and performance evaluation. Success is measured not only by model performance, but by the ability to frame the right problem before work begins and translate rigorous analysis into confident decisions. The work functions as a strategic consulting capability within Care, turning ambiguous business challenges into clear, actionable direction. Job Responsibilities: • Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights • Deliver timely, high-quality analysis and actionable recommendations that support intelligent business decision-making • Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development • Collaborate with engineering teams to implement and enhance machine learning pipelines and production-ready models • Communicate key information and insights to business leaders through verbal, written, and data visualization methods • Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience: • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required) • Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required) • 4-7 years 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 (Required) • 4-7 years Experience with data scripting languages (e.g., SQL, Python, R) (Required) • 2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required) • 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required) • 4-7 years Experience in data visualization (Required) • 4-7 years Experience working with relational database using SQL (Required) • 2-4 years Experience in the telecom industry (Preferred) 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 and unsupervised learning (Required) • Business Acumen: Demonstrated ability to connect analytical work to business outcomes, approach problems with first-principles thinking, and communicate tradeoffs in ways that influence how leaders act, not just what they know . (Preferred) • 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 Base Pay Range: $106,000 - $191,100 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within 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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ346803¶dox=1 At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. 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 - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out . 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, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!