Data Scientist

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, Data science techniques, Data Visualization, Data Modeling, R Programming, Statistics, ETL frameworks, Data Analysis

Job Description

T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop!

Here at T-Mobile, we are using data science to revolutionize our approach to fraud and we are looking for someone to join the team making this a reality! We’re looking for a Data Scientist who is ready to jump into the deep end with us. Use every tool and technique you have, and some you may pick up along the way, to create unique solutions to complex problems. We are looking to build extensive models around fraud detection, prevention, and process improvements through a measured approach and established feedback loop. You’ll work with teams inside and outside of Fraud Management to collaborate, build proof of concepts, and turn data into insights. The teammate that we are looking for will need to be able to take a project from concept all the through the finish line into production and be comfortable making this happen. We’re looking for someone that’s excited about data modeling, forecasting, optimization, and has a strong vision of how data science and engineering can create lasting value for our customers and T-Mobile.

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.
• Also responsible for other Duties/Projects as assigned by business management as needed.

Qualifications:

• Bachelor’s degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) related field or equivalent experience
• 1-3 yrs industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role
• Intermediate or higher proficiency in SQL, Python, R or other machine learning software a plus
• 1-3 yrs experience with data curation, ETL process, managing and supporting complex data pipelines
• Superior communication, organization, presentation, and data visualization skills
• Wireless/Telecom experience a plus

• At least 18 years of age
• Legally authorized to work in the United States

T-Mobile requires all employees in this position to be fully vaccinated for COVID-19, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. T-Mobile will require proof of vaccination, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not cause T-Mobile undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.

Travel:

Travel Required (Yes/No):No

DOT Regulated:

DOT Regulated Position (Yes/No):No

Safety Sensitive Position (Yes/No):No