The Advisor, Data Science will provide thought leadership and best practice approaches to support client projects.  The person will be accessing, analyzing, and interpreting customer-centric data to build advanced predictive models leveraging statistics, mathematics, and econometrics to support solutions such as Product Assortment Optimization, Retail Price Optimization, B2B Price Optimization, Personalized Marketing, Promo Effectiveness, Marketing Mix Optimization, and Floor Space Optimization. 

This role is an integral part of the Research & Development Department.  The Advisor will have 3 to 4 years of relevant pricing, assortment, or direct marketing experience in the B2B or retail industries and expert capabilities in statistical and econometric modeling in analytics applications. The candidate will understand the business needs of a B2B, retailer or CPG client as well as the appropriate analytical approach to most analytical problems encountered by these clients.

WHAT YOU’LL DO:

• Develope advanced statistical/econometric and optimization models of pricing, assortment, marketing mix and/or direct marketing. Provide analytical consulting on best practices and approaches.
• Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data. Be an internal expert in advanced capabilities.
• Work closely with Director/AVP to develop methodology and implement analysis and technology that enables more profitable marketing/promotion decisions in support of product roadmaps
• Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation, and reporting.
• Identify, develop, and make recommendations for process improvements and best practices; own implementation of recommendations required.
• Participate in special projects as required.

WE’RE LOOKING FOR PEOPLE WHO HAVE:

• Master’s degree (Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering); PhD preferred
• Minimum 3 to 4 years of direct related work experience in Econometric modeling or mathematical optimization. For PhDs, we can have less experience
• Minimum 1 year of experience of supervisory/management experience.
• Work closely with internal R&D team to learn the use and functions of existing systems
• ·Work closely with client lead to manage project executions
• Serve as a champion of Advanced Analytics to clients.
• Experience in MS Office products, SQL, Python, R & C/C++

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.