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Bellevue, Washington, United States
Onsite
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!
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%).Position duties and responsibilities include, but are not limited to:
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.
Methods include classic machine learning methods, like statistical regression analysis and dimensionality reduction, and innovative methods, like ensemble models and deep learning.
Models are developed with a focus on strategic scalability and are used 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 that forecasting and attribution outputs meet business needs and are integrated into decision-making processes (10%).
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.
Skill requirements:
(1) Using SQL and Python or other statistical/analytical programming languages to manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon insight;
(2) Working independently to identify new segmentation opportunities using statistical methods including decision tree, clustering, leading to enhancements to decision process and policies;
(3) Developing predictive analytical models using the appropriate statistical methodologies, including logistics regression, experimental design, and hypothesis testing;
(4) Extracting, loading, and transforming data from multiple sources necessary for statistical, reporting and ad-hoc analysis;
(5) Building complex machine learning algorithms with automated model parameter tuning; and
(6) Working 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, 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, or its foreign equivalent and 7 years of relevant work experience.
Additional:
At least 18 years of age
Legally authorized to work in the United States
Location: Bellevue, WA
This position is eligible for the employee referral program.
Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
How to apply:
Visit https://careers.t-mobile.com/
Create a candidate profile, and apply to REQ353573.
OTHER: Work hours: 40 hours/week. Washington Pay Range: $196,914.00 to $224,000.00/year.
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobile’s amazing benefits, check out https://careers.t-mobile.com/.
Candidate’s pay will be based on various factors, such as work location, qualifications, and experience. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
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As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
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, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
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