At T-Mobile, the business problem is to build smarter marketing through data, machine learning, and real-time decision-making to enable better customer experiences and understanding.
Requirements
- 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
- Experience collaborating with product and engineering teams to ship models, not just notebooks
- Bonus: exposure to MarTech, marketing decisioning, or customer lifecycle modeling
Responsibilities
- 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
Other
- 2–4 years of experience in a data science or machine learning role
- 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
