Data Scientist

Be unstoppable with us!

T-Mobile is synonymous with innovation–and you could be part of the team that changed 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!

This is a hybrid role, requiring 3 days/week in office. This role is located in Bellevue, WA.

As a Data Scientist, you are responsible for applying machine learning techniques and statistical methods to address business problems. You will collaborate with a multi-disciplinary team of technical and non-technical business partners on a wide range of challenges. You will work across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement. Paramount to this job is the understanding that a Data Scientist’s ultimate goal is to build real business value from data.

Job Responsibilities:

• Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
• Perform analytics 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.

Education:

• Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Required)
• Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred)

Work Experience:

• 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
• 2-4 years Experience in the telecom industry

Knowledge, Skills and Abilities:

• Mathematics Calculus, linear algebra, statistics, and probability (Required)
• Programming: Working knowledge of Python and SQL (Required)
• Machine Learning: Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
• At least 18 years of age
• Legally authorized to work in the United States

T-Mobile Equal Employment Opportunity

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

Washington Pay Range : $106,800.00 – $144,500.00

The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below 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, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobile’s amazing benefits, check out https://careers.t-mobile.com/culture-and-benefits/

Never stop growing!

T-Mobile 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.

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.