Principal Data Scientist

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. Thats how were UNSTOPPABLE for our employees!

** This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in either Seattle Washington or Overland Park Kansas areas.**

Job Overview
This role drives technical innovation across the data science function applying advanced analytics machine learning and artificial intelligence to solve complex business challenges. It partners with technical and non-technical stakeholders to develop modeling solutions that support critical operations. Success is measured by effective implementation adoption of emerging technologies and delivery of actionable insights that strengthen data-driven decision-making and advance team capabilities.

Job Responsibilities :

• Extract prepare and model large complex data sets to develop advanced analytics and machine learning solutions
• Identify and evaluate new technologies to enhance data integration and quantitative analytics capabilities
• Own the implementation and standardization of advanced analytics and modeling toolkits for data science teams
• Collaborate with data engineering to shape data management strategies architecture governance and infrastructure
• Provide senior-level guidance on data science methodologies and approaches to technical teams
• Communicate insights and technical information to business leaders through verbal written and visual means
• Also responsible for other duties/projects as assigned by business management as needed

Required Education:

• Bachelors Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience . Acceptable areas of study include Quantitative Discipline (math statistics economics computer science physics engineering)

Required Experience

• 7-10 years 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
• 4-7 years Experience writing and speaking about technical concepts to business technical and lay audiences and giving data-driven presentations
• 7-10 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
• 4-7 years Experience with statistical methods and advanced modeling techniques. For example- SVM Random Forest graph models Bayesian inference NLP Computer Vision neural networks
• 4-7 years Experience with big data architecture and pipeline Hadoop Hive Spark Kafka etc.
• 7-10 years Experience with data scripting languages (e.g. SQL Python)
• 4-7 years Experience in data visualization
• 7-10 years Extended experience working with relational database using SQL

Preferred Experience

• 4-7 years Experience in telecom industry

Required Knowledge Skills and Abilities :

• Advanced Analytics
• Critical Thinking
• Data Science
• Data Visualization
• Generative AI
• Large Language Model (LLM)
• Machine Learning (ML)
• Statistical Analysis

Preferred Knowledge Skills and Abilities :

• Data Bricks
• Deep Learning
• XGBoost
• LGBM
• PySpark
• Reinforced Learning

#LI-Corporate

• At least 18 years of age
• Legally authorized to work in the United States

Travel :
Travel Required (Yes/No): No

DOT Regulated :
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity: $152880 - $275760

National Base Pay Range: $127400 - $229800

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidates actual pay will be based on various factors such as work location qualifications and experience so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location T-Mobile employees in regular non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

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 dont 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-Mobiles amazing benefits check out .

Never stop growing! As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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 genetic information 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. Talent comes in all forms at the Un-carrier. 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 or calling 1-. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Required Experience:

Staff IC

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