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Senior Data Scientist

https://www.t-mobile.com Logo

T-Mobile

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Location:
United States, Bellevue

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

106000.00 - 191100.00 USD / Year

Job Description:

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

Requirements:

  • Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
  • Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred)
  • 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
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have:

  • Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • 2-4 years Experience in the telecom industry
What we offer:
  • Medical, dental and vision insurance
  • Flexible spending account
  • 401(k)
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off
  • Up to 12 paid holidays
  • 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
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs

Additional Information:

Job Posted:
April 05, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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