What you will be doing: • Manage and perform hands-on modeling and complex analyses using Python, SQL and/or R • Build and enhance marketing and media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes • Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations Marketing leadership and CMO • Present media insights and recommendations to different levels of senior clients • Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems • Partner with cross-functional team to streamline data science solutions • Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization • Participate in goal setting, performance review, and performance management for team members. Minimum Qualifications: • Bachelor's Degree: Statistics, Economics, Operations Research, or related field • Proficient coding skills (SQL/Python/R) and database knowledge • Experience with A/B and Multivariate test design and implementation • Experienced in building market mix and multi-touch attribution models • Experience with advertising, measurement, and/or digital marketing analytics • Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc • 5+ years post academic professional experience in data science, measurement, marketing strategy & analytics • You have a passion for working in a fast-paced agile environment. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The annual salary range for this position is $143,000.00-$286,000.00
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