The Data Science Advisor, Merch will provide thought leadership and best practice approaches to support client projects.  The person will be accessing, analyzing and interpreting marketing data on behalf of NIQ clients to build advanced predictive models leveraging statistics, mathematics and econometrics to support business objectives such as target audience selection, marketing campaign design and execution, and marketing mix optimization. 

This role is an integral part of the Merch Analytics Team.  The successful candidate will have 3 to 5 years of relevant pricing, assortment direct marketing, B2B and retail industry experience and expert capabilities in statistical and econometric modeling in marketing 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: 

• Configure advanced statistical and econometric 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 clients and client teams to develop methodology and implement analysis and technology that enables more profitable marketing/promotion decisions in support of partner customer strategies.
• 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:

1. Expert proficiency in developing original statistical and econometric models in pricing, assortment, direct marketing, marketing mix models to support clients in B2B, Retail and CPG areas.
2. Expert proficiency in implementing models in #1 using python or R.
3. Advanced knowledge of Hierarchical Bayesian models.
4. Sufficient working knowledge of Python and SQL.

All your information will be kept confidential according to EEO guidelines.

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.