T-
T-MobileSr Data Scientists
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Before you apply
SalaryNo pay range posted
LocationBellevue, Washington
Work modehybrid
Typefull-time
SenioritySenior
Experience3+ yrs
EquityIncluded
Company size10,000+ people
PostedOct 21, 2026 · 2w ago
Verified live20h ago
At a glanceSummarised by Seekless from the posting.
Use Python to diagnose and resolve statistical model failures due to data or code issues.
Use Python and SQL to monitor statistical model outputs to assess accuracy and detect signs of drift.
Run and analyze scenario-based forecasts to support business planning using Tableau and Power BI.
Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies.
Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments.
Master's degree or foreign equivalent in Business Analytics, Economics, Engineering, Physics, Mathematics, Statistics, or related, and 3 years of relevant work experience.
Bachelor's degree or foreign equivalent in Business Analytics, Economics, Engineering, Physics, Mathematics, Statistics, or related, and 5 years of relevant work experience.
Skills
Python
SQL
Tableau
Power BI
ML
Benefits
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
About the role
Position summary:
T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr Data Scientists is located in Bellevue, WA will develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends.
• Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.
Position duties and responsibilities include, but are not limited to:
•
Use Python to diagnose and resolve statistical model failures due to data or code issues.
•
Use Python and SQL to monitor statistical model outputs to assess accuracy and detect signs of drift.
•
Investigate causes of accuracy performance changes and flag concerns.
•
Run and analyze scenario-based forecasts to support business planning using Tableau and Power BI.
•
Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements.
•
Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments.
•
Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team.
Minimum requirements:
Experience and education requirements:
PRIMARY REQUIREMENTS: Master’s degree or foreign equivalent in Business Analytics, Economics, Engineering, Physics, Mathematics, Statistics, or related, and 3 years of relevant work experience in any occupation in which the required experience is gained.
ALTERNATIVE REQUIREMENTS: Bachelor’s degree or foreign equivalent in Business Analytics, Economics, Engineering, Physics, Mathematics, Statistics, or related, and 5 years of relevant work experience in any occupation in which the required experience is gained.