The Sr. Data Scientist will provide process execution leadership to support client projects. The person will be accessing, analyzing and interpreting point-of-sale, merchandising and marketing data on behalf of Precima clients to implement advanced predictive and prescriptive models leveraging statistics, mathematics and econometrics to support business objectives in merchandising and marketing such as price optimization, assortment optimization, target audience selection, marketing campaign design and execution, and marketing mix optimization.
This role is an integral part of the Research and Development Team. The successful candidate will have relevant B2B and retail industry experience and expert capabilities in mathematical optimization applications. The candidate will understand the business needs of a B2B, retailer or CPG client as well as the appropriate analytical approaches to merchandising and marketing problems encountered by these clients.
Design and implement optimization algorithms to solve prescriptive analytics problems in marketing and merchandising, specifically mathematical optimization models of pricing, assortment and marketing mix. 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 analytics capabilities.
Work closely with client teams to develop methodology and implement analysis and technology that enables more profitable pricing, assortment and 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.
PhD or Master Degree in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, or Computer Science
Minimum of 4 years of directly related work experience in mathematical optimization
Expert proficiency in designing and implementing nonlinear optimization algorithms
Expert proficiency in R or Python
Advanced working knowledge of Microsoft Word, Excel, PowerPoint
Working knowledge of SQL
Precima applies shopper insights derived from advanced analytics to help retailers and manufacturers drive sales growth and boost profitability. Using comprehensive fact bases of purchase data, Precima's experts help you improve your marketing and merchandising, identify opportunities for growth and align both internal teams and external partners to best meet shoppers' needs.
Precima tailors the scope and pace of its solutions to the unique priorities of each client. The overall goal is to achieve not just tactical wins but long - term strategic gains, encouraging retailers to broaden the marketing agenda and fully explore the potential of sophisticated shopper insights.
Precima's roster of past and current clients includes many leading Fortune 1000 brands, among them some of the top high-frequency retailers in North America. Backed by first-hand experience with leading retail and manufacturing organizations, the Precima team brings a remarkable blend of expertise in loyalty, analytics, marketing and management to help you make more informed and profitable business decisions.