Principal Data Scientist, Marketing

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!

Job Overview

As a Principal Data Scientist working with the Product Innovation Team, you will drive the development of innovative solutions that transform data into high-impact, customer-facing products. In this highly strategic and technical role, you will work cross-functionally with product managers, engineers, data stewards, and commercial stakeholders to design and deliver scalable machine learning systems that unlock new revenue opportunities and power the next generation of data driven offerings.

You will serve as a technical thought leader and hands-on contributor, bringing deep expertise in advanced analytics, statistical modeling, and artificial intelligence to complex business challenges. Your work will directly influence product direction and commercialization strategy, as you prototype and productionize models that enable new capabilities and insights for both internal users and external partners.

At the forefront of emerging AI technologies, you will help shape the long-term technical vision for data science within the product organization—guiding experimentation, establishing best practices, and mentoring others while staying closely aligned with evolving business needs and market trends.

Experience in advertising or digital media is a strong plus, especially familiarity with advertising measurement and activation use cases.
Job Responsibilities:

Leads data science projects from inception to completion. Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
Lead the exploration and adoption of ground breaking AI/ML technologies, setting the direction for innovation and technical excellence within the team.
Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science teams.
Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
Provide senior level guidance, technical leadership and mentorship to the data science team, guiding the development of impactful data-driven solutions.
Communicate significant information and insights to business leaders using verbal, written, and data visualization skills.

Education and Work Experience:

Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Required)
Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred)
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 Required
4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Required
7-10 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data Required
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 Required
4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. Required
7-10 years Experience with data scripting languages (e.g., SQL, Python, R) Required
4-7 years Experience in data visualization Required
7-10 years Extended experience working with relational database using SQL Required
4-7 years Experience in telecom industry Preferred

Knowledge, Skills and Abilities:

Mathematics Calculus, linear algebra, statistics, and probability (Required)
Programming Mastery of Python and SQL (Required)
Machine Learning: Apply machine learning techniques including supervised and unsupervised learning; collaborative filtering; and artificial neural networks (Required)
Deep Learning: Research, design, implement, evaluate, and optimize novel algorithms/models in Deep Learning space (Required)
Communication Exemplary communication skills, ability to work with cross functional teams (Required)

#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
Base Pay Range: $127,400 - $229,800
Corporate Bonus Target: 20%
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, ****** 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.