Data Scientist (Retail / Shopper Analytics)

Jersey City, NJ, US • Posted 1 day ago • Updated 1 day ago

Contract Independent

Contract W2

No Travel Required

On-site

Depends on Experience

Signitives

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

SQL
Python
Retail Analytics
Shopper Analytics
Transaction Data Analysis
Basket Analysis
Loyalty Data
Data Visualization
Power BI
Excel
Statistical Analysis
Business Insights
KPI Analysis
Data Storytelling
CPG Domain

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91143212
Position Id: 8932770
Posted 1 day ago

Company Info

About Signitives

At Signitives, we offer various engagement models to help our clients reach their business goals and get the most value from our product engineering services.

Our engagement models are tailored to fit our clients' unique needs and are designed to be flexible and adaptable.

Our operational methodologies are built on industry-proven frameworks and best practices, and are designed to help us plan, execute, and monitor our projects in a way that maximizes efficiency and minimizes risk.

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