Data Scientists

Be unstoppable with us!
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!

Position summary

T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Data Scientists located in Bellevue, WA will develop, enhance, and operationalize the key statistical models to understand economics drivers and identify anomalies in business performances.

Position duties and responsibilities include, but are not limited to:

• Gather, cleanse and analyze data, build mathematical models, and develop solutions for strategic enterprise level problems.

• Perform exploratory analysis to determine key business trends and correlations.

• Apply predictive analytics to build optimization models with minimal oversight.

• Apply statistical methodologies to large, complex data sets.

• Build projections/forecasts and articulating the methods, formulas, and assumptions.

• Build mathematical models that support business efficiency initiatives.

• Explain complex formulas to others who may not be experts in mathematics/ statistics.

• Communicate findings in a business context to stakeholders at various business and technical skill levels.

• Apply statistical techniques and mathematical skills to assess the financial and operational impacts to the business at an enterprise level.

• Aid in data-driven decision making paired with forward-thinking business and industry trends.

• Participate in and prepare for sessions to identify the action-oriented hypotheses.

• Create executive-level presentations and present complex analytics in a clear and concise manner.

• Telecommuting is permitted, but applicants must live within a reasonable commuting distance.

Skill requirements:

• (1) Performing Quantitative analysis to identify drivers of change and create monthly and weekly dashboards to track historical performance trends.

• (2)  Mining customer data in Teradata by writing SQL queries and analyzing and generating insights with statistical computer languages including R and SAS programming.

• (3) Conducting time-series analysis including autoregressive, moving average, and  exponential smoothing to forecast short-term and long-term business metrics including activation volume and disconnect volume, and building financial models to assess Return on Investment and Net Present Value.

• (4) Creating statistical models for customer lifetime value, churn and customer segmentation   using machine learning techniques such as Logistic Regression, and Random Forest, to understand business drivers and identify pricing optimization opportunities.

• (5) Evaluating new marketing initiatives efficiency leveraging control and test groups with proficiency in SQL join statements, subqueries, and volatile tables in Teradata database, as well as manipulating large datasets with Excel Power Pivot/VBA/R/Python/SAS.

Experience and education requirements:

PRIMARY REQUIREMENTS: Master’s degree in Statistics, Math, Economics or related, and 1 years of relevant work experience.

ALTERNATIVE REQUIREMENTS: Bachelor’s degree in Statistics, Math, Economics or related, and 3 years of relevant work experience.

Additional:                                                

• Location:  Bellevue, WA

• This position is eligible for the employee referral program.

How to apply:

• Visit www.tmobile.jobs.

• Create a candidate profile, and apply to REQ192971.

OTHER:  Work hours: 40 hours/week. Salary: $108,135.71/year.

• 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 are 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

T-Mobile's Commitment

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.

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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.