Senior Data Scientist

T-Mobile

Lead data science projects at T-Mobile utilizing machine learning and statistical methods to create business value. Collaborate with technical and non-technical stakeholders on complex data challenges.

Posted 5/30/2026full-timeBellevue • Kansas, Washington • 🇺🇸 United StatesSenior💰 $106,000 - $191,100 per yearWebsite

Tech Stack

Tools & technologies

HadoopKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.
Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
Work with engineering teams to implement and improve machine learning pipelines and production-ready models.
Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills.
Also responsible for other Duties/Projects as assigned by business management as needed.

Requirements

What you’ll need

Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) Required
Masters Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) Preferred.
4-7 years of 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 of experience with data scripting languages (e.g., SQL, Python, R) (Required)
4-7 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
4-7 years of experience in data visualization (Required)
4-7 years of experience working with relational database using SQL (Required)
2-4 years of experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
2-4 years of experience in the telecom industry preferred

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

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningpredictive modelingdata analysisdata visualizationstatistical techniquesdata scripting languagesdeep learningrelational databasesbig data architecturedata modeling

Soft Skills

communicationmentorshipguidanceteam collaborationproblem-solvinganalytical thinkingdecision-makinginterpretationsynthesisproject review