Data Scientist – Retail / Shopper Analytics (SQL, Python)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Signitives, is seeking the following. Apply via Dice today!Job DescriptionWe are seeking experienced Data Scientists to support a high-impact retail analytics engagement focused on shopper behavior, promotions, pricing, and assortment insights.This role involves working with large-scale transaction, basket, and loyalty datasets to generate actionable insights that directly influence business decisions for sales, marketing, and customer development teams.Key ResponsibilitiesAnalyze shopper transaction, basket, and loyalty data to uncover actionable insightsEvaluate promotion performance, pricing strategies, and assortment effectivenessPerform basket analysis, cross-purchase behavior, and shopper segmentationTranslate business questions into analytical approaches and insightsBuild dashboards, visualizations, and executive-ready presentationsCollaborate with Sales, Marketing, and Analytics stakeholdersProvide data-driven recommendations to support business strategyRequired Skills6+ years of experience in data analytics / data scienceStrong hands-on expertise in:SQL (must-have)Python (data analysis focused)Experience working with:Transaction / Loyalty / POS dataLarge-scale datasets in cloud environmentsStrong understanding of:Shopper analytics (basket analysis, penetration, frequency, cross-purchase)Proven ability to translate data into business insightsExperience with data visualization tools (Power BI, Excel, or similar)Strong communication skills with ability to work with non-technical stakeholdersPreferred SkillsExperience with retail / CPG industry dataExposure to Kroger Collaborative Cloud (KCC) or similar retailer platformsFamiliarity with 84.51° / Stratum toolsExperience with Nielsen / Circana syndicated dataBackground in Shopper Marketing or Sales AnalyticsExperience in consulting or project-based environments.