Manager – Data Science – Fiber Acquisition
| Company | T-Mobile |
|---|---|
| Location | Frisco, TX, USA, Bellevue, WA, USA, Denver, CO, USA, Overland Park, KS, USA |
| Salary | $133800 – $241400 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- 4+ years of experience implementing data science-driven solutions and explaining complex machine learning and analytical concepts, presenting data insights and recommendations to diverse audiences and multiple levels of leadership.
- 2 years of management experience or leading/mentoring a data science team.
- 4+ years of experience with data querying, wrangling, cleaning, and feature engineering, working with common relational and non-relational databases in big data environments such as AWS, Azure, and Google Cloud.
- 4+ years of experience using Python, R, and other predictive modeling and machine learning tools in big data environments.
- 4+ years of experience working with relational databases using SQL.
- 4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions using various supervised/unsupervised ML algorithms.
- 2+ years of experience in the telecom industry.
Responsibilities
- Collaborates with FP&A, Pricing, Analytics, and field partners to drive towards growth objectives across both marketing and promotions.
- Conducts region-level insights gathering to develop a playbook of initiatives to drive growth across each of the regions as an iterative and at a regular, recurring cadence.
- Lead the development of major data science initiatives from problem framing, data collection, model development, insights generation and presentation, deployment, and performance measurement.
- Hire, develop, manage, and retain a team of data scientists with diverse skills and experience levels.
- Collaborate with cross-functional teams to identify and solve business problems using data science techniques.
- Continuously improve data science operations to optimize efficiency, create scalable solutions, and build a world-class data science team.
- Perform other duties/projects as assigned by business management as needed.
Preferred Qualifications
- Master’s/Advanced Degree: Preferred in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field.