Responsibilities:

• Work with project leadership to define project scope and develop approach


• Lead project teams in design and execution of analyses to test hypotheses and improve client commercial effectiveness


• Lead project task execution by ensuring progress, organizing project data and coordinating team meetings


• Conduct issue analysis and develop hypotheses on the key client issues


• Lead analytical projects that utilize statistical modeling (regression, clustering, media mix models, etc.) and AI/ML (Neural Networks, GBM, Genetic Algorithms, etc.)


• Effectively summarize analyses or research outputs to clients and ZS teams, highlighting insights and presenting outcomes using Excel, PowerPoint, ZS's proprietary software, among others


• Provide thought leadership and innovation within projects and practice areas


• Participate in business development


• Contribute to internal firm activities


• Coach and mentor junior team members

Qualifications:

• Bachelor's or Master's degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Computer Science, Management Science, Data Science, Statistics, Econometrics, or Engineering


• 2-6 years of relevant work experience with evidence of strong analytic work (including use of advanced modeling techniques, AI/ML and tools such as R, Python, etc.)


• Knowledge of Digital Marketing and Digital Analytics in any industry preferred but not mandatory


• Experience with marketing technology and tools (Google Analytics, AEM, SFMC, DSP, CDP, etc.) is preferred but not mandatory


• Strong oral and written communication skills that enable personal impact with senior-level decision makers


• High motivation, good work ethic, maturity and personal initiative


• Aptitude for, and enjoyment of, leading and managing teams


• Effective oral and written communication skills that enable personal impact with senior-level decision makers


• Strong attention to detail, with a quality-focused mindset


• Analytic problem solving skills, with a creative and innovative outlook


• Client service orientation.