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T-Mobile

Senior Data Scientist

T-Mobile

Senior Data Scientist at T-Mobile responsible for driving data insights and machine learning solutions. Leading data initiatives and collaborating with cross-functional teams for high impact.

Posted 5/20/2026full-timeOverland Park • Kansas, Texas, Washington • 🇺🇸 United StatesSenior💰 $106,000 - $191,100 per yearWebsite

Tech Stack

Tools & technologies
HadoopKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • 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
  • partner closely with engineering, product, and business leaders to turn ideas into scalable, high-impact solutions
  • influence strategy, guide data-informed decision-making at multiple levels of the organization, and help prioritize where data science can drive the most value
  • play a key role in mentoring others and raising the bar for technical excellence and collaboration

Requirements

What you’ll need
  • 4+ yrs 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 (Required)
  • 4+ yrs Experience with data scripting languages (e.g., SQL, Python, R) (Required)
  • 2+ yrs Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
  • 4+ yrs Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
  • 4+ yrs Experience in data visualization (Required)
  • 4+ yrs Experience working with relational database using SQL (Required)
  • 2+ yrs 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)
  • Business Analysis (Required)
  • Business Insights (Required)
  • Critical Thinking (Required)
  • Data Analysis (Required)
  • Data Science (Required)
  • Data Storytelling (Required)
  • Data Visualization (Required)
  • Deep Learning (Required)
  • Generative AI (Required)
  • Large Language Model (LLM) Fine-Tuning (Required)
  • Machine Learning (ML) (Required)
  • Statistical Analysis (Required)

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
predictive modelingdata sciencemachine learningdeep learningdata visualizationdata analysisstatistical analysisSQLPythonHadoop
Soft Skills
critical thinkingbusiness analysisbusiness insightsdata storytellingmentoringcollaborationinfluencing strategydata-informed decision-makingproblem framingcommunication