Senior Data Scientist, Marketing Forecasting & ML

T-Mobile; Bellevue (WA); Hybrid; USD 166,000 - 171,000; Full time

Benefits offered by this job

Employee referral program

Job summary

T-Mobile in Bellevue, WA is seeking a Senior Data Scientist to develop forecasting models for marketing performance, budget impacts, and customer acquisition trends. This role blends Python/SQL with BI tools to translate model outputs into business strategies that drive ROI.

The position allows telecommuting but requires on-site work 3–4 days per week. 40 hours weekly, with bonus eligibility and comprehensive benefits described in the posting.

Qualifications

• Master's degree in Business Analytics, Economics, Engineering, Physics, Mathematics, Statistics, or related, plus 3 years of relevant work experience.
• Bachelor's degree in related field plus 5 years of relevant work experience.
• Experience in building, training, validating, and maintaining statistical and ML models in production.

Responsibilities

• Use Python to diagnose and resolve statistical model failures due to data or code issues.
• Use Python and SQL to monitor model outputs for accuracy and drift.
• Investigate causes of accuracy performance changes and flag concerns.
• Run scenario-based forecasts to support business planning using Tableau and Power BI.
• Collaborate with marketing, finance, and analytics teams to translate insights into ROI improvements.
• Work with data engineers to scale and automate model deployment in production environments.

Skills

Python & R

SQL & Cloud

Marketing analytics

Model interpretation

Statistics & A/B testing

Tableau / Power BI

Education

Master's degree or foreign equivalent in related field

Bachelor's degree or foreign equivalent in related field

Job description

T-Mobile in Bellevue, WA is seeking a Senior Data Scientist to develop forecasting models for marketing performance, budget impacts, and customer acquisition trends. This role blends Python/SQL with BI tools to translate model outputs into business strategies that drive ROI.

The position allows telecommuting but requires on-site work 3–4 days per week. 40 hours weekly, with bonus eligibility and comprehensive benefits described in the posting.