Principal Data Scientist

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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.

This role drives technical innovation across the data science function, applying advanced analytics, machine learning, and artificial intelligence to solve complex business challenges. It partners with technical and non-technical stakeholders to develop modeling solutions that support critical operations. Success is measured by effective implementation, adoption of emerging technologies, and delivery of actionable insights that strengthen data‑driven decision‑making and advance team capabilities.

• 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

• 4-7 years Experience in telecom industry

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

• Data Bricks
• Deep Learning
• XGBoost
• LGBM
• Py Spark
• Reinforced Learning

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

Travel Required (Yes/No):
No

DOT Regulated Position (Yes/No):
No

Safety Sensitive Position (Yes/No):
No

Total Target Cash Earnings…