• Extract, prepare, and model large, complex data sets to develop advanced analytics and machine learning solutions
• Identify and evaluate new technologies to enhance data integration and quantitative analytics capabilities
• Own the implementation and standardization of advanced analytics and modeling toolkits for data science teams
• Collaborate with data engineering to shape data management strategies, architecture, governance, and infrastructure
• Provide senior-level guidance on data science methodologies and approaches to technical teams
• Communicate insights and technical information to business leaders through verbal, written, and visual means
• Also responsible for other duties/projects as assigned by business management as needed

• Bachelor’s Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience . Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering), * 7-10 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
• 4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
• 7-10 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
• 4-7 years Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
• 4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc.
• 7-10 years Experience with data scripting languages (e.g., SQL, Python)
• 4-7 years Experience in data visualization
• 7-10 years Extended experience working with relational database using SQL

Preferred Experience

• 4-7 years Experience in telecom industry

Required Knowledge, Skills and Abilities:

• Advanced Analytics
• Critical Thinking
• Data Science
• Data Visualization
• Generative AI
• Large Language Model (LLM)
• Machine Learning (ML)
• Statistical Analysis

Preferred Knowledge, Skills and Abilities:

• Data Bricks
• Deep Learning
• XGBoost
• LGBM
• PySpark
• Reinforced Learning

LI-Corporate

• At least 18 years of age
• Legally authorized to work in the United States

$127400.00-$229800.00 life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k) United States, Kansas, Overland Park 6220 Sprint Parkway (Show on map) Oct 03, 2026

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! ** This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in either Seattle, Washington or Overland Park, Kansas areas.**, DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity: $152,880 - $275,760 National Base Pay Range: $127,400 - $229,800

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results. The base pay range reflects the compensation component of this opportunity. The 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. To find the pay range for this role based on hiring location, click here.

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. Corporate employees are eligible for a year-end bonus based on individual and/or company 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. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

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