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

Job Description

We 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 Responsibilities

• Analyze shopper transaction, basket, and loyalty data to uncover actionable insights

• Evaluate promotion performance, pricing strategies, and assortment effectiveness

• Perform basket analysis, cross-purchase behavior, and shopper segmentation

• Translate business questions into analytical approaches and insights

• Build dashboards, visualizations, and executive-ready presentations

• Collaborate with Sales, Marketing, and Analytics stakeholders

• Provide data-driven recommendations to support business strategy

Required Skills

• 6+ years of experience in data analytics / data science

• Strong hands-on expertise in:

  • SQL (must-have)

  • Python (data analysis focused)

• Experience working with:

  • Transaction / Loyalty / POS data

  • Large-scale datasets in cloud environments

• Strong understanding of:

  • Shopper analytics (basket analysis, penetration, frequency, cross-purchase)

• Proven ability to translate data into business insights

• Experience with data visualization tools (Power BI, Excel, or similar)

• Strong communication skills with ability to work with non-technical stakeholders

Preferred Skills

• Experience with retail / CPG industry data

• Exposure to Kroger Collaborative Cloud (KCC) or similar retailer platforms

• Familiarity with 84.51° / Stratum tools

• Experience with Nielsen / Circana syndicated data

• Background in Shopper Marketing or Sales Analytics

• Experience in consulting or project-based environments.