Job Description

Position Overview

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.

Principal Data Scientists located in Bellevue, WA will implement and maintain modeling pipelines in Python, ensuring statistical accuracy and version control in collaboration with data engineering teams (10%).

Responsibilities

• Communicate complex findings clearly to technical and non-technical stakeholders through presentations, documentation, and data visualizations that support decision‑making (10%).
• Stay current with advances in forecasting, attribution modeling, and statistical methods by engaging in professional development and applied learning (5%).
• Design, lead, and innovate the development of advanced statistical and machine learning models to forecast business outcomes such as service activations, digital and retail traffic, and related KPIs.
• Apply classic machine learning methods—statistical regression analysis and dimensionality reduction—and innovative methods—ensemble models and deep learning.
• Develop models with a focus on strategic scalability and use them to inform enterprise‑level planning and budgeting decisions (30%).
• Contribute to the design, innovation and refinement of media attribution models including Marketing Mix Modeling and Multi‑Touch Attribution to evaluate marketing effectiveness and align attribution insights with forecasting strategies (10%).
• Guide the development and deployment of scalable modeling pipelines in Python, providing oversight to ensure reproducibility, rigor, and operational readiness (15%).
• Mentor and review the work of junior data scientists, providing methodological direction, feedback, and quality control (10%).
• Collaborate cross‑functionally with marketing, analytics, and data engineering teams to ensure forecasting and attribution outputs meet business needs and are integrated into decision‑making processes (10%).
• Telecommuting is permitted, but applicants must work from the worksite location at least 3‑4 days per week.
• No additional national or international travel is anticipated.

Skill Requirements

• Use SQL and Python or other statistical/analytical programming languages to manipulate large amounts of data, extract key insights, and communicate actionable recommendations.
• Work independently to identify new segmentation opportunities using decision trees, clustering, and other statistical methods, enhancing decision processes and policies.
• Develop predictive analytical models using appropriate statistical methodologies, including logistic regression, experimental design, and hypothesis testing.
• Extract, load, and transform data from multiple sources necessary for statistical reporting and ad‑hoc analysis.
• Build complex machine learning algorithms with automated model parameter tuning.
• Work with a cloud computing environment, including Azure Databricks and AWS.

Experience and Education Requirements

Primary Requirements: Master’s degree in Applied Economics, Economics, Mathematics, Operations Research, Statistics, Finance, or related field, or its foreign equivalent, and 5 years of relevant work experience.

Alternative Requirements: Bachelor’s degree in Applied Economics, Economics, Mathematics, Operations Research, Statistics, Finance, or related field, or its foreign equivalent, and 7 years of relevant work experience.

Additional Requirements

• At least 18 years of age.
• Legally authorized to work in the United States.
• Location: Bellevue, WA.
• Position is eligible for the employee referral program.

Travel and Regulatory

Travel required: No.

DOT regulated: No. Safety Sensitive: No.

Compensation and Benefits

Work hours: 40 hours per week. Washington Pay Range: $196,914.00 – $224,000.00 per year.

Employees may be eligible for an annual bonus, periodic sales incentive or bonus based on role, and an annual stock grant. Additional benefits include medical, dental, vision, flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off, holidays, parental and family leave, and commuter program discounts.

How to Apply

1. Visit
2. Create a candidate profile and apply to REQ353573.

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law.

If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500.

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