Decision Scientist, Marketing Program Analytics

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Job Overview
This person will support all aspects of T-Mobile's marketing insights and decision making to maximize T-Mobile's continued success in the US wireless market. This role favors the extremely quantitative and analytical and will generally touch on all traditional cornerstones of marketing: pricing, products, promotion, and distribution placement with specific roles and assignments going deep into any one or all of these areas. This role requires a deep understanding of financial modeling and financial driver and trade-off evaluations across Marketing, Finance, Sales and Operations, Supply Chain and with strategic external partners. This person will solve strategic problems that drive go-to-market actions through bottoms-up data exploration, modeling, and sound fact-based business judgment. Ultimately, this person is required to synthesize key learnings from bottom-up data exploration to make value optimization recommendations to Senior Leadership (SVPs/C-levels) on a regular basis, and to influence key stakeholders to drive positive business outcomes.

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

Education and Work Experience:

• Master's/Advanced Degree Math, Economics, Finance, Statistics, and other quantitative fields (computer science, engineering, physics) (Required)
• Doctorate Math, Economics, Finance, Statistics, and other quantitative fields (computer science, engineering, physics) (Preferred)
• 2-4 years - Industry experience in investment banking, management consulting, or related experience in financial modeling, decision support and corporate strategy [if the candidate processes a Ph.D. degree]
• 2-4 years - Experience with data scripting languages (e.g., SQL, Python, R) [if the candidate processes a Ph.D. degree]
• 4-7 years - Industry experience in investment banking, management consulting, or related experience in financial modeling, decision support and corporate strategy [if the candidate does NOT process a Ph.D. degree]
• 4-7 years - Experience with data scripting languages (e.g., SQL, Python, R) [if the candidate does NOT process a Ph.D. degree]

Knowledge, Skills and Abilities:

• Mathematics Calculus, linear algebra, statistics, and probability (Required)
• Programming Experts in using Python and SQL for data manipulation and data scripting (Required)
• Financial Modeling Ability to build financial models for complex business problems that involve real options, financial uncertainties and economic driver analysis (Required)
• Communication Strong communication skills, and proven records of providing decision support and building presentation materials for SVP/C-level discussions (Required)
• Industry Work Experience: Industry experience in investment banking, management consulting, or related experience in financial modeling, decision support and corporate strategy (Required)
• Technical Skills: Experience with data scripting languages (e.g., SQL, Python, R) (Required)

Licenses and Certifications:

• 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

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ337858¶dox=1

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 [email protected] 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.