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.