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Senior Data Scientist

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T-Mobile

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Location:
United States , Overland Park ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

106000.00 - 191100.00 USD / Year
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Job Description:

Are you ready to redefine the future of customer service with the power of AI? We’re looking for a Senior Data Scientist who doesn’t just build models—but helps define how data drives our business. In this role, we use advanced machine learning and statistical techniques to solve complex problems, unlock new opportunities, and shape the future of our products and decisions. As a senior member of the team, we count on you to lead end-to-end initiatives across the full data science lifecycle—from framing ambiguous problems and exploring data to developing, deploying, and continuously improving models in production. You’ll partner closely with engineering, product, and business leaders to turn ideas into scalable, high-impact solutions. This role goes beyond execution. We’re looking for someone who can influence strategy, guide data-informed decision-making at multiple levels of the organization, and help prioritize where data science can drive the most value. You’ll have a voice in shaping our roadmap, defining best practices, and elevating how we operate as a team. We build with purpose. Together, we focus on delivering solutions that create measurable business impact, improve customer experiences, and position data as a core strategic asset. You’ll also play a key role in mentoring others and raising the bar for technical excellence and collaboration. We’re especially interested in someone with strong experience across descriptive, predictive, and prescriptive analytics—someone who can both enhance existing products and help us design and scale what comes next.

Job Responsibility:

  • Extract and model large, sophisticated data sets using machine learning, mathematics, statistics, and programming to generate predictive insights
  • Deliver timely, high-quality analysis and actionable recommendations that support intelligent business decision-making
  • Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development
  • Collaborate with engineering teams to implement and improve machine learning pipelines and production-ready models
  • Communicate key information and insights to business leaders through verbal, written, and data visualization methods
  • Also responsible for other duties/projects as assigned by business management as needed

Requirements:

  • 4-7 years Proven 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 with data scripting languages (e.g., SQL, Python, R)
  • 2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc.
  • 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • 4-7 years Experience in data visualization
  • 4-7 years Experience working with relational database using SQL
  • Mathematics Calculus, linear algebra, statistics, and probability
  • Programming Expertise in Python and SQL
  • Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning
  • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
  • Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.)
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have:

2-4 years Experience in the telecom industry

What we offer:
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • 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:
March 21, 2026

Employment Type:
Fulltime
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