Senior Data Scientist – Consumer Analytics

T-Mobile

Data Scientist leading machine learning projects for consumer analytics at T-Mobile, transforming data into actionable insights to drive business value.

Posted 4/23/2026full-timeBellevue • Kansas, Texas, Washington • 🇺🇸 United StatesSenior💰 $106,000 - $191,100 per yearWebsite

Tech Stack

Tools & technologies

HadoopKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Extract and model large, complex 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 enhance 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

What you’ll need

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.)
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
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
2-4 years Experience in the telecom industry (Preferred)
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
At least 18 years of age
Legally authorized to work in the United States

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

machine learningpredictive modelingdata analysisdata visualizationdata scripting languagesSQLPythonHadoopSparkdeep learning

Soft Skills

mentorshipcommunicationcollaborationanalytical thinkingproblem-solving