T-Mobile is looking to transform data into high-impact, customer-facing products by developing innovative solutions that unlock new revenue opportunities and power the next generation of data-driven offerings.
Requirements
- 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)
- Experience with data scripting languages (e.g., SQL, Python, R) Required
- Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. Required
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data Required
- Experience in data visualization Required
Responsibilities
- Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
- Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.
- Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
- Work with engineering teams to implement and improve machine learning pipelines and production-ready models.
- Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills.
Other
- Bachelor's Degree 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
- Strong communication skills, ability to work with cross functional teams
- Ability to work in a hybrid work environment requiring work in the office three (3) days per week
