Decision Scientist, Marketing Program Analytics

• 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

• Master's/Advanced Degree Math, Economics, Finance, Statistics, and other quantitative fields (computer science, engineering, physics) (Required)
• Experts in using Python and SQL for data manipulation and data scripting (Required)
• Ability to build financial models for complex business problems that involve real options, financial uncertainties and economic driver analysis (Required)
• Strong communication skills, and proven records of providing decision support and building presentation materials for SVP/C-level discussions (Required)
• Industry experience in investment banking, management consulting, or related experience in financial modeling, decision support and corporate strategy (Required)
• Experience with data scripting languages (e.g., SQL, Python, R) (Required)
• At least 18 years of age
• Legally authorized to work in the United States

Doctorate Math, Economics, Finance, Statistics, and other quantitative fields (computer science, engineering, physics) (Preferred)

• annual bonus or periodic sales incentive or bonus
• medical, dental and vision insurance
• flexible spending account
• 401(k)
• employee stock grants
• employee stock purchase plan
• paid time off
• up to 12 paid holidays
• 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
• voluntary long-term care insurance
• mobile service & home internet discounts
• pet insurance
• access to commuter and transit programs