Job Description
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!
Join the T-Mobile Fiber Team as a Data Scientist
Drive insights, shape strategy, and make a measurable impact through deep data science.
Were looking for a curious, analytical, and results-driven Data Scientist to join our T-Mobile Fiber team. If you're passionate about uncovering insights hidden in complex data, building powerful predictive models, and shaping strategy with meaningful analytics, we want to hear from you.
This is your opportunity to work at the forefront of data science and machine learning, helping us accelerate growth, optimize performance, and transform the way we deliver fiber across the country.
This is a hybrid work environment, with three days in the office.
What You'll Do - Analyze massive, complex datasets to uncover insights and power smarter decision-making.
- Apply machine learning, statistics, and modeling to tackle critical business questions like customer acquisition, penetration optimization, and product performance.
- Build and iterate on advanced predictive modelsespecially focused on penetration permutations and regional financial performance.
- Create and test challenger models to constantly improve accuracy and effectiveness.
- Develop near real-time scorecards to track cohort performance and signal when interventions are needed.
- Collaborate with stakeholders to visualize and present findings through compelling dashboards and storytelling.
- Translate complex technical insights into clear, actionable strategies for business leaders.
- Dive into ad-hoc analyses to explore emerging questions and opportunities.
- Consider partner differences (JV & Wholesale) and regional variations to fine-tune modeling assumptions.
What You Bring - 24 years of experience in data science, predictive modeling, or ML engineering.
- Strong proficiency in Python and SQL; experience with R is a plus.
- Hands-on experience building data pipelines, crafting visualizations, and communicating insights.
- Solid understanding of supervised and unsupervised machine learning techniques.
- Ability to break down complex problems, think critically, and solve analytically.
- Experience working with stakeholders and adapting to shifting priorities in fast-paced environments.
Your Background - Bachelors Degree in a quantitative field such as Math, Statistics, Computer Science, Physics, or Engineering is required.
- Masters or other advanced degree preferred.
- Telecom experience (24 years) strongly preferred.
Why Youll Love This Role You wont just crunch numbersyoull shape the future of T-Mobile Fiber. This is deep, meaningful data work with high visibility and real-world impact. Youll work in a collaborative environment with some of the brightest minds in the industry, using cutting-edge tools to solve real challenges in real time.
Ready to dive deep and make a difference with data? Apply now and be part of something bigger at T-Mobile.
- At least 18 years of age
- Legally authorized to work in the United States
Base Pay Range: $86,300 - $155,700
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful 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.
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 employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, copy and paste this link into your browser:
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-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, 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 ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. 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.
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Job Tags
Full time, Temporary work, Work at office, Local area, Flexible hours, Shift work,