Data Scientist, Agentic AI
Data Scientist, Agentic AI
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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!
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 were 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-Mobiles 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:
24 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: $86300 - $155700Corporate 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 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 dont 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 or calling 1-. 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.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
