Data Science Co-op: Consumer Insights & Impact

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

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