At T-Mobile, the Distribution Analytics team is focused on driving distribution strategy and optimization for both T-Mobile and Metro by T-Mobile brands. Driving insights into action and action into value is a key value of the team. Specific areas of focus include sales substitution analysis, store profitability, and developing long-term distribution footprint plans including numbers of stores and geographic locations for retail stores. Additional areas of focus include cross-brand impacts to distribution, digital sales impacts to distribution, store operations insights, etc. As a Data Scientist, you are responsible for applying machine learning techniques and statistical methods to solve business problems.
Requirements
- 2-4 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role Required
- 2-4 years Experience with data scripting languages (e.g., SQL, Python, R) Required
- 2-4 years Experience in data visualization Required
- Mathematics Calculus, linear algebra, statistics, and probability (Required)
- Programming Working knowledge of Python and SQL (Required)
- Machine Learning: Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
Responsibilities
- Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
- Perform data mining and statistical analyses on ad hoc business problems.
- Define problems in mathematical terms. For example, “Why is product feature X underperforming?” and “What data on user behavior might help explain it?”
- 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) (Required)
- Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred)
- 2-4 years Experience developing statistics-based analytics reports Preferred
- 2-4 years Experience in the telecom industry Preferred
- At least 18 years of age
- Legally authorized to work in the United States
- Travel Required (Yes/No): No
