Senior Data Scientist vacancy at T-Mobile
General overview of the role
This position may be located anywhere in the United States. Employee may work remote, work from home.
This role offers analytically-minded candidates the opportunity to be part of one of T-Mobile’s fastest-growing divisions-T-Mobile For Business-and create real impact. As Sr. Data Scientist, you will partner with both functional and technical teams and outside partners to collaborate, test hypotheses, build proofs of concept, and turn data into information. You will use various tools such as R, python, AzureML and PowerBI to explore data, build and evaluate models, and visualize the results to tell the story to your business partners. This role reports to the Senior Manager of Analytics.
The Senior Data Scientist is a knowledgeable leader who is passionate about data modeling, forecasting, optimization, and possesses a strong vision of how data science and engineering can create value for our customers and for the company. To be successful in this role, you will need inherent curiosity and the ability to think cross-functionally. You should be able to dissect complex problems, utilize facts/data to derive conclusions, and deliver clear recommendations through storytelling. Examples of work include forecasting product and sales performance, identifying key drives of performance and customer adoption, estimating market penetration, evaluating business cases for new initiatives, and identifying and understanding impacts of macro trends.
Perform ad hoc data mining, exploration, and statistical analyses on complex business problems
Drive the process of getting from problem statement to recommendation: break down problem and develop analysis framework; identify, procure, and explore relevant data; construct models as appropriate to analyze data and derive insights
Create executive-level presentations and present complex analytical findings in a clear, concise and decision-impacting manner through effective visualizations and storytelling
Lead the implementation, assessment, and standardization of toolkits for data science, insight management, and visualizations
Research and work with Data Engineering and Platform Architecture teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions
Develop and maintain positive working relationships with partner teams in a collaborative team environment
Coach and mentor analysts on the team
Master’s degree in a quantitative discipline and 5 years of data science/business analytics experience
Strong understanding of statistical concepts, data modelling techniques and tools
Extensive experience in data acquisition and manipulation/massaging/munging from transactional systems, data warehouses, and various third-party sources (e.g., web, Google, US Census, D&B, etc.)
High level of statistical modeling proficiency and proven experience in data analysis
Proficient in data visualization for effective communication
Excellent storytelling and communication skills-written and oral-with good executive-level presence
Good business acumen with broad exposure to multiple functional areas
Talent for multi-tasking, prioritizing objectives, and meeting deadlines