Data Scientist (Retail / Shopper Analytics)

Job Summary

We are seeking mid-level Data Scientists to join a high-impact analytics engagement focused on leveraging Kroger Collaborative Cloud (KCC) data. This role will analyze shopper transaction, basket, and loyalty data to generate actionable insights that influence promotions, pricing, assortment, and shopper strategy.

You will work closely with Customer Development, Shopper Marketing, and Analytics teams to translate business questions into data-driven decisions.

Key Responsibilities

• Analyze large-scale shopper transaction, basket, and loyalty datasets

• Generate insights on:

  • Promotion effectiveness and optimization

  • Shopper behavior and trip dynamics

  • Basket analysis, cross-purchase, and halo effects

  • Pricing and assortment strategy

• Translate business questions into analytical frameworks and hypotheses

• Deliver insights through dashboards, reports, and presentations

• Collaborate with cross-functional teams to align KPIs and business logic

• Communicate findings clearly to both technical and non-technical stakeholders

• Identify new analytical opportunities within KCC data

• Document methodologies and ensure knowledge transfer

Required Qualifications

• 6 years of experience in Data Science / Analytics

• Strong experience with SQL and Python

• Hands-on experience with large-scale transaction or shopper data

• Experience in Retail / CPG (Consumer Packaged Goods) domain

• Strong analytical thinking with focus on business impact

• Experience creating dashboards using Power BI, Excel, or similar tools

• Excellent communication and stakeholder management skills

Preferred Qualifications

• Experience with Kroger Collaborative Cloud (KCC) or 84.51° Stratum

• Familiarity with Nielsen / Circana (IRI) data

• Experience in Shopper Marketing or Customer Development analytics

• Consulting or project-based analytics experience.