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!

Job Overview
At T-Mobile, data doesn’t just inform our strategy — it shapes it! The Corporate Strategy team is looking for a Decision Scientist, Marketing Program Analytics to drive insights and influence the decisions that keep T-Mobile at the top of the U.S. wireless market. This person will be an integral part of a team focused on measuring the business impact of marketing programs that offer our customers benefits beyond core wireless connectivity (examples include Netflix on Us, Magenta Status, in-flight WiFi and more). This role favors those who are both very analytical and highly comfortable with ambiguity, able to parse insights from real-world data where test and control must often be inferred rather than explicitly structured. This person will be point on a subset of the programs in-scope for the team, working with the team leader to invent and continually refine the analytic approach. They will also partner with peers within the teams which own these programs, helping them to better understand their business impacts as well as guide them towards value-maximizing improvements. This person will also assist with the preparation of executive level communications. This person is required to have 4+ years of relevant experience in quantitative analysis.

The team has two positions available at our Bellevue, WA HQ.
T-Mobile offers three days a week in office collaboration!

Job Responsibilities:

• Extract, prepare and model large, complex data sets using a combination of skills, including mathematics, statistics, and programming language such as SQL, Python, R. Monitor change in new program launch and promotions, and create detailed quarterly promo calendar by writing Python and other text extraction codes
• Solve strategic problems that drive go-to-market actions through bottoms-up data exploration, modeling, and sound fact-based business judgment. Identify value enhancing opportunities and key economic drivers through testing hypothesis using rigorous analytical data-driven approach, financial models, real options and sensitivity analysis
• Construct Senior Executive level (SVP and C-level) presentations on complex analytical findings in clear, concise and decision-impacting manner. Possess the ability to influence leadership through fact-based analysis and drive positive business outcomes
• Work cross-functionally with Marketing, Finance, Sales and Operations, Supply Chain, and with external strategic partners to evaluate service and device pricing, product portfolio optimization, customer behavioral modeling, special offer impact analysis, and distribution channel strategy. Develop prototypes to solve challenging and new business problems and ensure enterprise value maximization

Knowledge, Skills and Abilities:

• Solid base in mathematics, including calculus, linear algebra, statistics, and probability.
• Proficiency in Python and SQL for data manipulation and scripting is required; experience with R is a plus.
• Demonstrated ability to build complex financial models that account for real options, uncertainty, and economic drivers.
• Excellent communication skills, with a track record of supporting strategic decisions and preparing presentations for SVP- and C-level partners.
• Prior validated experience in investment banking, management consulting, or similar fields with exposure to corporate strategy and financial analysis is crucial!

Education and Work Experience:

Education (Required):

• Master’s or advanced degree in Mathematics, Economics, Finance, Statistics, or other quantitative fields such as Computer Science, Engineering, or Physics.

Education (Preferred):

• Ph.D. in Mathematics, Economics, Finance, Statistics, or other quantitative fields such as Computer Science, Engineering, or Physics.

Work Experience (if non-Ph.D. holder):

• 4–7 years of industry experience in investment banking, management consulting, or a related role involving financial modeling, decision support, or corporate strategy. 4–7 years of hands-on experience with data scripting languages such as SQL, Python, or R.

Work Experience (if Ph.D. holder):

• 2–4 years of industry experience in investment banking, management consulting, or a related role involving financial modeling, decision support, or corporate strategy. 2–4 years of hands-on experience with data scripting languages such as SQL, Python, or R.

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

Base Pay Range: $125,200 - $225,800

Corporate Bonus Target: 20%

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.