Sr 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. That’s how we’re UNSTOPPABLE for our employees!

Are you ready to redefine the future of customer service with the power of AI?
We’re looking for a Senior Data Scientist who doesn’t just build models—but helps define how data drives our business. In this role, we use advanced machine learning and statistical techniques to solve complex problems, unlock new opportunities, and shape the future of our products and decisions.

As a senior member of the team, we count on you to lead end-to-end initiatives across the full data science lifecycle—from framing ambiguous problems and exploring data to developing, deploying, and continuously improving models in production. You’ll partner closely with engineering, product, and business leaders to turn ideas into scalable, high-impact solutions.

This role goes beyond execution. We’re looking for someone who can influence strategy, guide data-informed decision-making at multiple levels of the organization, and help prioritize where data science can drive the most value. You’ll have a voice in shaping our roadmap, defining best practices, and elevating how we operate as a team.

We build with purpose. Together, we focus on delivering solutions that create measurable business impact, improve customer experiences, and position data as a core strategic asset. You’ll also play a key role in mentoring others and raising the bar for technical excellence and collaboration.

We’re especially interested in someone with strong experience across descriptive, predictive, and prescriptive analytics—someone who can both enhance existing products and help us design and scale what comes next.

We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting clarity in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today!

Responsibilities:

·       Extract and model large, sophisticated data sets using machine learning, mathematics, statistics, and programming to generate predictive insights

·       Deliver timely, high-quality analysis and actionable recommendations that support intelligent business decision-making

·       Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development

·       Collaborate with engineering teams to implement and improve machine learning pipelines and production-ready models

·       Communicate key information and insights to business leaders through verbal, written, and data visualization methods

·       Also responsible for other duties/projects as assigned by business management as needed

Knowledge, Skills and Abilities:

·       4-7 years Proven 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 (Required)

·       4-7 years Experience with data scripting languages (e.g., SQL, Python, R) (Required)

·       2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)

·       4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)

·       4-7 years Experience in data visualization (Required)

·       4-7 years Experience working with relational database using SQL ()

·       2-4 years Experience in the telecom industry (Preferred)

·       Mathematics Calculus, linear algebra, statistics, and probability (Required)

·       Programming Expertise in Python and SQL (Required)

·       Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning (Required)

Education:

·       Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)

·       Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)

• 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

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 candidate’s 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 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. To find the pay range for this role based on hiring location, click here.

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.

Never stop growing!
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.

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.