Data Scientist (Logistics)

At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family—a Fortune 100 company and the world’s leading off-price retailer. 

Job Description:

Data Scientist I (Logistics)

Job Summary

The Data Scientist I support end-to-end analytics and modeling lifecycles, transforming structured and unstructured data into actionable insights that inform business decisions and customer understanding. This role applies statistical methods, machine learning techniques, and programming skills (e.g., SQL, Python, R) to develop, validate, deploy, and monitor predictive models while ensuring data quality, compliance, and scalability.  

Working closely with data science leaders, IT, and business partners, the Data Scientist I communicates complex findings through clear visualizations and business-ready narratives to drive both short- and long‑term strategic outcomes. 

What you’ll do

• Work closely with Logistics Data Science and Engineering Team to improve the data collection, quality and influence insights 
• Partner with IT and Logistics Operations to ensure data readiness for modeling including data source identification and pre-processing 
• Profile data to analyze quality, volume, and business rules 
• Support data transformations using tools and languages such as SQL, Python, or Alteryx 
• Document and refine code for analysis 
• Support development of predictive models that support logistics business processes 
• Create data visualization and insights using Power BI or other code-based visual tools 
• Link analytics with short and long-term business strategy to drive profitable sales 
• Support the logistics business to drive better decisions and insights from data 

Minimum requirements

• Bachelor’s degree required (preferably in Data Science, Business Analytics, or a related field)  
• SQL experience and experience using a scripting language such as Python or R 
• Familiarity with data visualization and reporting tools such as Power BI or Tableau 
• Familiarity with data science or machine learning methods and concepts such as Supervised and Unsupervised Learning, Classifications, Regression, Text Mining, and other ML techniques 
• Understanding of statistical concepts and quantitative techniques 
• Exposure to technical, analytical, and advanced mathematics 

Preferred experience

• 1-3 years logistics or supply chain operational experience 
• 1-3 years of data science experience 

Address:

Location: