Data Scientist

Position: Data Scientist Location: Jersey City, NJ-Remote Duration: Long Term Job description: Key Responsibilities • Partner closely with Customer Development, Shopper Marketing, and Analytics stakeholders to translate priority business questions into clear analytical approaches and insights using Kroger Collaborative Cloud data. • Lead hands on analysis of shopper transaction, basket level, and loyalty data to uncover insights related to: o Promotion performance and optimization o Shopper behavior and trip dynamics o Basket composition, cross purchase, and halo effects o Assortment and pricing effectiveness • Synthesize complex analytical findings into clear, decision ready insights that inform Kroger joint business planning, shopper marketing, and commercial execution. • Collaborate with business partners & customer analytics to ensure consistent business logic, KPI definitions, and analytical assumptions when working with retailer transaction data. • Develop visual outputs and narratives (tables, charts, dashboards, or slide ready summaries) that effectively communicate insights to both technical and non technical audiences. • Act as a thought partner to the business by proactively identifying new analytical opportunities within KCC data to answer emerging business questions. • Support knowledge transfer and documentation of methodologies, assumptions, and findings to ensure continuity beyond the 26 week engagement. What You Need to Succeed • Strong technical and analytical aptitude with the ability to focus analysis on business impact and decision making, not just outputs. • 6+ years of experience working with large scale transaction or shopper level datasets, ideally within retail or consumer goods environments. • Hands on experience performing analysis using cloud based analytics environments and modern data tools (e.g., SQL, Python). • Proven experience translating retailer loyalty, transaction, and basket data into actionable commercial insights. • Strong communication skills, with the ability to clearly explain analytical findings and implications to non technical stakeholders. • High intellectual curiosity, structured problem solving skills, and comfort working in an ambiguous, fast moving environment. • Ability to manage work independently within a defined project timeline (26 weeks) while collaborating effectively with cross functional partners. Core Skills • Advanced analytical skills using SQL and/or Python to manipulate and analyze large transaction level datasets. • Strong understanding of shopper analytics concepts, including trip missions, basket analysis, penetration, frequency, and cross purchase behavior. • Experience designing analytical approaches to answer promotion, pricing, assortment, and shopper marketing business questions. • Ability to translate business questions into analytical hypotheses and structured analyses. • Strong data visualization and storytelling skills, with experience creating clear, compelling, and executive ready outputs. Experience & Qualifications Required • Experience delivering end to end analytics projects for business stakeholders, from problem definition through insight delivery. • Experience analyzing retailer transaction and loyalty data to drive commercial decisions. • Experience creating data visualizations and summaries using tools such as Power BI, Excel, or similar. • Experience working with Customer Development, Sales, or Shopper Marketing teams. • Experience in consumer goods, retail, or related industries. Preferred • Direct experience with Kroger Collaborative Cloud, 84.51° Stratum, or similar retailer data platforms. • Experience working with shopper marketing or joint business planning use cases. • Familiarity with syndicated data (e.g., Circana, Nielsen) and how it complements retailer transaction data. • Experience working in a project based or consulting style role with defined timelines and deliverables.