T-Mobile
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 and be part of the data-driven force powering the future of high-speed internet. As a Sr. Data Scientist, youll play a key role in unlocking insights and building advanced machine learning models to drive fiber network growth, optimize deployment strategies, and support strategic business decisions. This is your chance to work in a dynamic, collaborative environment where your work has a direct impact on the expansion of T-Mobiles next-generation fiber footprint.
This is a hybrid work environment, with three days in the office
What Youll Do Design, build, and deploy end-to-end machine learning and statistical models that accelerate fiber growth and improve financial performance. Extract, clean, and model large, complex datasets using advanced programming and statistical techniques. Define and frame business problems in mathematical termssuch as identifying underperforming market segments, optimizing penetration strategies, and analyzing fiber user behavior. Develop and continuously improve penetration permutation models, along with challenger models to test and enhance performance. Monitor key performance indicators through real-time cohort-level dashboards and scorecards, enabling fast, data-informed decisions. Incorporate geographic and partner-level variations (including JV and Wholesale) into modeling to ensure accurate regional cost optimization. Collaborate with cross-functional teamsincluding engineering, finance, marketing, and leadershipto drive alignment between data insights and business strategy. Communicate findings and recommendations effectively using clear visualizations, presentations, and storytelling techniques. What You Bring 47 years
of experience in data science, machine learning, or ML engineering, including building and deploying predictive models in production environments. Proficiency in
Python
and
SQL
for data manipulation, modeling, and visualization. Experience with
big data platforms
such as Hadoop, Hive, Spark, and Kafka. Strong foundation in statistics, probability, linear algebra, and calculus. Proven ability to frame complex business problems into analytical solutions and translate insights into actionable business recommendations. Experience in
telecommunications or fiber infrastructure
is highly preferred. Ability to thrive in a fast-paced environment with evolving priorities and a high degree of cross-functional interaction. Excellent communication skillsboth written and verbalwith the ability to tailor technical concepts to non-technical audiences. Nice to Have Hands-on experience developing deep learning models. Familiarity with fiber network planning, deployment strategies, or telecom business metrics. Advanced data visualization skills using tools like Tableau, Power BI, or Python-based libraries. Education Bachelors Degree
in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics) required. Masters Degree
or higher in a related field preferred. At least 18 years of age Legally authorized to work in the United States Base Pay Range: $106,000 - $191,100 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, https://paylookup.t-mobile.com/paylookup?reqID=REQ311515dox=1
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 outwww.t-mobilebenefits.com . 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. #J-18808-Ljbffr
This is a hybrid work environment, with three days in the office
What Youll Do Design, build, and deploy end-to-end machine learning and statistical models that accelerate fiber growth and improve financial performance. Extract, clean, and model large, complex datasets using advanced programming and statistical techniques. Define and frame business problems in mathematical termssuch as identifying underperforming market segments, optimizing penetration strategies, and analyzing fiber user behavior. Develop and continuously improve penetration permutation models, along with challenger models to test and enhance performance. Monitor key performance indicators through real-time cohort-level dashboards and scorecards, enabling fast, data-informed decisions. Incorporate geographic and partner-level variations (including JV and Wholesale) into modeling to ensure accurate regional cost optimization. Collaborate with cross-functional teamsincluding engineering, finance, marketing, and leadershipto drive alignment between data insights and business strategy. Communicate findings and recommendations effectively using clear visualizations, presentations, and storytelling techniques. What You Bring 47 years
of experience in data science, machine learning, or ML engineering, including building and deploying predictive models in production environments. Proficiency in
Python
and
SQL
for data manipulation, modeling, and visualization. Experience with
big data platforms
such as Hadoop, Hive, Spark, and Kafka. Strong foundation in statistics, probability, linear algebra, and calculus. Proven ability to frame complex business problems into analytical solutions and translate insights into actionable business recommendations. Experience in
telecommunications or fiber infrastructure
is highly preferred. Ability to thrive in a fast-paced environment with evolving priorities and a high degree of cross-functional interaction. Excellent communication skillsboth written and verbalwith the ability to tailor technical concepts to non-technical audiences. Nice to Have Hands-on experience developing deep learning models. Familiarity with fiber network planning, deployment strategies, or telecom business metrics. Advanced data visualization skills using tools like Tableau, Power BI, or Python-based libraries. Education Bachelors Degree
in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics) required. Masters Degree
or higher in a related field preferred. At least 18 years of age Legally authorized to work in the United States Base Pay Range: $106,000 - $191,100 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, https://paylookup.t-mobile.com/paylookup?reqID=REQ311515dox=1
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 outwww.t-mobilebenefits.com . 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. #J-18808-Ljbffr