At T-Mobile, data doesn't just inform our strategy - it shapes it! The Corporate Strategy team is looking for a Data Scientist, Marketing Program Analytics to drive insights and influence the decisions that keep T-Mobile at the top of the U.S. wireless market!
Requirements
- Calculus, linear algebra, statistics, and probability (Required)
- Working knowledge of Python and SQL (Required)
- Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
- 2-4 years - Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role
- 2-4 years - Experience with data scripting languages (e.g., SQL, Python, R)
- 2-4 years - Experience in data visualization
- 2-4 years - Experience developing statistics-based analytics reports is preferred
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.
- applying machine learning techniques and statistical methods to solve business problems.
- work across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement.
Other
- Collaborate with a multi-disciplinary team of technical and non-technical business partners on a wide range of challenges.
- Paramount to this job is the understanding that a Data Scientist's ultimate goal is to create real business value from data.
- Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering)
- Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred)
- At least 18 years of age
