Data Science Co-op, Consumer Insights

Jobtailor; Framingham (MA); On-site; USD 28,000 - 41,000; Part time

Job summary

Jobtailor in Framingham, MA is seeking a student co-op candidate for hands-on data science work. You will clean and transform data, train and evaluate statistical and machine learning models, and translate outputs into actionable insights that influence business decisions.

You'll build dashboards and reporting for multiple partners across marketing, digital/eCommerce, store operations, loyalty, and finance, collaborating with business partners on ad hoc analyses while delivering clear answers to

Qualifications

• Strong quantitative and analytical skills.
• Experience with SQL.
• Experience with R, Python, or other programming languages.
• Experience with Microsoft Excel, pivot tables, charts, and VLOOKUP.
• Ability to translate model outputs into actionable insights.

Responsibilities

• 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
• Create dashboards and build reporting for multiple 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 engagement across TJX brands in stores and online

Skills

Quantitative analysis

Excellent communication

Problem-solving

Proactive

Flexible

Education

Data Science majors preferred

CS/Math majors considered

Tools

SQL

R

Python

Microsoft Excel

Microsoft Office

Cloud-based platforms

Job description

• 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

• 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

Core Competencies

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 Transformation
• Statistical and Machine Learning Models
• SQL
• R or Python Programming
• Microsoft Excel

Hard Skills

• Data Cleaning
• Statistical Modeling
• Machine Learning
• SQL
• R
• Python
• Regression Analysis
• Significance Testing
• Multivariate Analysis
• Microsoft Excel

Soft Skills

• Excellent Communication
• Problem-Solving
• Creative Thinking
• Proactive
• Flexible

Industry Keywords

• Customer Insights
• Marketing
• Digital/eCommerce
• Store Operations
• Loyalty
• Finance

Tools & Technologies

• Microsoft Office
• Cloud-Based Platforms