Company DescriptionCome join us at NPD – we’re among the world’s leading market research firms and find ourselves at a very exciting time in our history. We provide market intelligence and strategic guidance to the world’s largest retailers and the manufacturers who fill their shelves. A key to our growth strategy is a focus on providing advanced modeling and solutions to increase the impact we can have for our clients. NPD offers a career filled with innovation and opportunity that is unique in the market research community and ideal for the creative and ambitious business research experts who join our family.Job DescriptionNPD’s Research Science Group works to ensure that NPD’s market information is of the highest quality; in particular, that it is reliable, accurate, and complete. We design and monitor the systems that ensure quality outcomes through use of approaches such as:Missing data imputationMulti-level modelingSelection bias modelingSmall area estimationAutomatic categorization of purchase recordsForecasting of future trendsThe demographic balance of questionnaire responses via samplingPost hoc adjustment (i.e., raking)This position exists within the Methodology and Protocols team, a core function in Research Science that is responsible for developing and promoting best practices across the organization and industry.Overall Responsibilities:Use SAS, SPSS, SQL, R, and/or Excel to:Design methodological enhancements to NPD processesCarry out tests of alternative implementations of these enhancementsConduct basic research that draws on existing NPD data to study different aspects of consumer reporting performance and POS data coverageApply multivariate and machine learning techniques to the above problemsPromote consistency in implementation of designed enhancements across different businesses Maintain relationships with Research Science client teams to understand what is working well with NPD methodology and what could be improvedCommunicate results and procedures to internal clientsThis position can be located in the Port Washington, NY or Chicago office.Please apply here: https://hire.jobvite.com/j?cj=oZb91fw4&s=MGThe NPD Group, Inc. is an Equal Opportunity EmployeeQualificationsAdvanced degree in statistics, preferably a PhDTwo-plus years’ experience in:Statistical programming in SAS, SPSS and/or RAdvanced statistical techniques (including those mentioned above)Knowledge of SQL queries preferred (either SAS Proc SQL or another SQL implementation)Excellent project management, time management, and problem solving skillsAbility to communicate ideas and analysis results effectively both verbally and in writing to both technical and non-technical audiencesAbility to work well on a team as well as independentlyProficient in MS Office (MS Word, Excel and PowerPoint)Additional InformationTeamwork To be successful in this role you must work effectively with colleagues across the organization regardless of level or role. This position requires a positive, energetic “can-do” attitude and willingness to both ask for and generously give help to colleagues. It also requires a willingness to be flexible and comfortable with sometimes rapidly shifting priorities and demands. *NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION employer.Company DescriptionThe world around us is changing. Retail is in a state of major transition, and consumers have more options than ever. As a leading provider of global information and advisory services, NPD is at the forefront of helping our clients, the world’s biggest brands and retailers understand and profit from these changes.Since 1966, we have been helping businesses track industry trends and understand their customers in order to get the right products in the right places for the right people at the right prices. We serve more than a dozen industries including consumer electronics, entertainment, fashion, food / foodservice, toys, video games, and more.We want to lead manufacturers and retailers on collaborating via the effective use of our information in line reviews and joint business planning.