Data Science Co-op, Consumer Insights

The TJX Companies, Inc.

Data Science Co-op supporting TJX’s off-price retail brands through customer analytics, machine learning, dashboards, and marketing effectiveness insights.

Posted 9/10/2026full-timeFramingham • Massachusetts • 🇺🇸 United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong quantitative and analytical skills with proficiency in data cleaning, transformation, and statistical modeling. Capable of translating complex model outputs into actionable insights that enhance customer understanding and drive business processes.

Highest-signal resume keywords

Data Cleaning and TransformationStatistical and Machine Learning ModelsSQLR or Python ProgrammingMicrosoft Excel

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningStatistical ModelingMachine LearningSQLRPythonRegression AnalysisSignificance TestingMultivariate AnalysisMicrosoft Excel

Soft Skills

Excellent CommunicationProblem-SolvingCreative ThinkingProactiveFlexible

Tools & Technologies

Microsoft OfficeCloud-Based Platforms

Industry Keywords

Customer InsightsMarketingDigital/eCommerceStore OperationsLoyaltyFinance

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Perform data cleaning and transformation
Train and evaluate statistical and machine learning models
Translate model outputs into meaningful findings and deliver insights that influence business processes and deepen customer understanding
Create dashboards and build reporting for Customer Insights, Marketing, Digital/eCommerce, Store Operations, Loyalty, and Finance partners
Collaborate with business partners on ad hoc analyses
Provide accurate and informed responses to business questions
Support data science efforts that improve marketing effectiveness, customer value, and customer engagement across TJX brands in stores and online

Requirements

What you’ll need

Current student eligible for an intermediate or advanced co-op
Data Science majors preferred; consideration may also be given to Computer Science, Mathematics, or other related majors
Strong quantitative and analytical skills
Experience with SQL
Experience with R, Python, or other programming languages
Experience with quantitative techniques such as regression, significance testing, and multivariate analysis
Experience with Microsoft Excel, including pivot tables, charts, and VLOOKUP
Experience with Microsoft Office
Cloud-based platform experience is a plus
Ability to prioritize effectively, be proactive, and remain flexible
Ability to adjust direction under changing business conditions and needs
Excellent communication skills
Problem-solving and creative thinking skills

Benefits

Comp & perks

Competitive salary and benefits package
Open door policy and supportive work environment
Reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law