At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
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
Travel:
Travel Required (Yes/No):No
DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No
T-Mobile's Commitment
Base Pay Range: $86,300 - $155,700
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
