Data Scientist, Agentic AI

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 energized by the challenge of building smarter marketing through data, machine learning, and real-time decision-making? Join the Agentic AI team at T-Mobile — where we’re building the foundation for the next generation of customer understanding and intelligent engagement.

As a Data Scientist on the Agentic AI team, you will help design and operationalize machine learning solutions that enable smarter, real-time marketing across T-Mobile's customer base. Your work will include developing churn models, creating explainable micro-segmentation frameworks, and partnering with product and engineering to power decisioning and personalization at scale. This role requires strong statistical thinking, hands-on technical skills, and a passion for applying AI in service of better customer experiences.

BAResponsibilities: 

• Build, tune, and productionize predictive models (e.g., churn risk, segmentation, behavioral scores) using Python, SQL, and other tools,  

• Partner with product managers and engineers to translate business needs into model-driven solutions, and help integrate those models into downstream activation systems 

• Conduct exploratory data analysis, feature engineering, and signal design for supervised and unsupervised learning workflows 

• Communicate insights, model performance, and experiment results to technical and non-technical partners 

• Support ad hoc analysis and experimentation to evaluate opportunities or unblock execution 

 

Qualifications: 

• 2–4 years of experience in a data science or machine learning role 

• Hands-on experience with Python, SQL, and data visualization tools 

• Strong understanding of ML and deep learning concepts and techniques (classification, clustering, regression, uplift modeling, dimensionality reduction, etc.).  

• Experience working with NLP and large language models 

• Comfort working in ambiguity and designing experiments with incomplete or emerging data sets 

• Experience collaborating with product and engineering teams to ship models, not just notebooks 

• Bonus: exposure to MarTech, marketing decisioning, or customer lifecycle modeling 

• Bachelors Degree required in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)

• Masters/Advanced degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) preferred​

• 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: $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 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 p