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T-Mobile is transforming the traditional retail experience from transactional interactions to inspiring journeys of discovery and connection. We're seeking an exceptional Senior Data Scientist to drive innovation through advanced analytics and machine learning, while providing technical leadership to our data science team.
Job Responsibility:
Lead the end-to-end machine learning lifecycle, from problem framing to deployment
Extract, prepare, and model large, complex datasets using advanced ML techniques
Develop and implement sophisticated statistical models and machine learning algorithms
Guide the development and deployment of production-ready models
Establish best practices for data science methodologies and workflows
Transform complex data into actionable insights and recommendations
Deliver timely, high-quality analysis that enables intelligent business decisions
Create and implement metrics to measure model performance and business impact
Identify opportunities for applying ML solutions to business challenges
Drive innovation in retail analytics and customer experience optimization
Provide technical mentorship and guidance to data science team members
Review projects, models, and code for peers and junior team members
Collaborate with engineering teams on ML pipeline implementation
Partner with cross-functional stakeholders to align technical solutions with business needs
Communicate complex technical concepts to non-technical audiences
Drive the adoption of cutting-edge ML techniques and tools
Lead research initiatives to explore new methodologies and applications
Contribute to the development of scalable, production-grade ML systems
Influence technical strategy and roadmap planning
Champion data-driven decision making across the organization
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
2-4 years Experience in the telecom industry (Preferred)
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)
Communication Strong communication skills, ability to work with cross functional teams
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