Senior Data Scientist at NielsenIQ (Remote)

| Remote
Sorry, this job was removed at 8:33 a.m. (CST) on Tuesday, March 29, 2022
Find out who’s hiring remotely Nationwide
See all Remote jobs Nationwide
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Job Description

As a Senior Data Scientist, you will support research and development projects. The associate 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 and Development Department. You will have relevant B2B and retail industry experience and expert capabilities in statistical and econometric modeling in pricing, assortment, or marketing analytics applications. The candidate will understand the business needs of a B2B, retailer, or CPG client as well as the appropriate analytical approaches to pricing, assortment, and marketing problems encountered by these clients. 

What you’ll do

  • Implement advanced statistical and econometric models of pricing, assortment or 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 AD/Advisor – Data Science to develop methodology and implement analysis and technology that enables more efficient pricing, assortment, and 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.

We’re looking for people who have

  • Ph.D. preferred in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, and Computer Science

  • Retail or CPG Industry experience

  • Strong technical skills - SQL, Python, R, C++/C# 

  • Demonstrated curiosity, initiative, and passion for the application of statistical sciences to address business challenges and learning new statistical/analytical methods

  • Team player with high energy and demonstrated initiative

  • Ability to translate analytical results into clear written and verbal communication to internal/external stakeholders


Additional Information

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.

Read Full Job Description
Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Similar Jobs

Apply Now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView NielsenIQ's full profileFind similar jobs