Principal 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!

This role leads technical innovation within the data science function to address complex business challenges using advanced analytics and machine learning. It involves collaborating with diverse technical and non-technical stakeholders to develop advanced analytics and machine learning modeling solutions. The role requires mastery of existing machine learning techniques and development of artificial intelligence that supports key business operations. Success is measured by the effective implementation of advanced analytics, the adoption of emerging technologies, and the delivery of actionable insights.

The work impacts the organization by enabling data-driven decision-making and advancing the technical capabilities of data science teams.

• Extract, prepare, and model large, complex data sets to develop advanced analytics and machine learning solutions
• Identify and evaluate emerging technologies to enhance data integration and quantitative analytics capabilities
• Lead 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 (Required)
• Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Required)
• 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 (Required)
• 4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Required)
• 7-10 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
• 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 (Required)
• 4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
• 7-10 years Experience with data scripting languages (e.g., SQL, Python, R) (Required)
• 4-7 years Experience in data visualization (Required)
• 7-10 years Extended experience working with relational database using SQL (Required)
• 4-7 years Experience in telecom industry (Preferred)

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

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

Travel Required…