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Data Scientist

The Fresh Market
Greensboro, NC
The Fresh Market & You

Our mission is to make everyday eating extraordinary for our guests. We create a warm, welcoming, memorable experience with exceptional, personal service. We’re looking for a new team member who strives for excellence and brings positive energy, commitment, and a “can-do” attitude to work every day. We value teamwork and celebrate our successes as a team and will value your contribution!

Added Benefits For Choosing The Fresh Market Team

  • Team Member discount up to 30%
  • Health, Dental, & Vision insurance available for individual, spouse, partner, and family
  • 401K contribution and match for part-time and full-time team members
  • Personal time off and additional time off purchase plans are available
  • AND much more!

About The Position

The Fresh Market currently has an opening for a Data Scientist in our Store Support Center (099). The Data Scientist is responsible for handling and analyzing large volumes of customer and transaction data in order to generate statistically sound insights to drive the business forward. The data scientist will work with Merchandising, Marketing, and Financial Planning & Analysis to understand key business questions and will develop analysis, insights, and potential recommendations.

This position reports to the Director of Customer Behavior Analytics.

What You'll Do

  • With minimal guidance, use advanced statistical and computational methodologies to deliver customer and promotional related insights and recommendations for business teams and leaders
  • Identify ways to use data science techniques to derive useful insights that can be incorporated into existing workflows and processes to enhance business results
  • Evaluate existing and new data sources and apply the right analytical techniques to generate significant insights about customers, products and the business
  • Ability to present findings in simple way to help inform and enable business decisions
  • Ability to implement data science applications in a general programming language such as Python or R
  • Proficiency in employing large scale data analytics to derive actionable insights
  • Ability to interface and collaborate with technical and non-technical team members to accomplish goals
  • Use quantitative skills to work on a variety of research and analysis projects
  • Ad-hoc analyses as required

Qualifications:

  • 5 years of related experience, Degree in a Data Science, Statistics, Math, Computer Science, or quantitative field, advanced degree a plus
  • Strong analytical and quantitative skills
  • Self-starter with strong organizational skills and excellent follow through
  • Strong PC skills including Excel, PowerPoint and Word
  • Working knowledge of relational databases, including SQL; general programming language such as Python or R
  • Experience with large data set processing in SnowFlake
  • Excellent written, verbal, and visual communications skills
  • Proven ability to drive business results with their data driven insights
  • Ability to multi-task and prioritize tasks
  • Strong collaboration skills

REASONABLE ACCOMMODATIONS: Consistent with applicable laws, TFM will make reasonable accommodations for qualified applicants and team members, unless doing so would result in an undue hardship to TFM. This guiding principle applies to all aspects of employment, including hiring and job assignment, compensation, discipline, termination, and access to benefits and training.

We Are Proud To Be An Equal Opportunity Employer

Qualified applicants will receive consideration for employment without regard race, color, creed, religion, age, sex, gender, sexual orientation, gender identity, pregnancy and related medical conditions, national origin, genetic information, uniformed service, veteran status, disability, or any other basis prohibited by federal or state law.

The statements in this job description are provided to describe the general nature and level of work expected in this role. While these statements include the essential functions of the job, they are not intended to be a complete list of all responsibilities, duties and skills required. As we work as a team, there may be times team members are needed to perform duties outside of their normal responsibilities based on business needs.
Posted 2026-02-13

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