Data Scientist; Logistics

Position: 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 life cycles, 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

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 experience1-3 years logistics or supply chain operational experience1-3 years of data science experience

Benefits include Associate discount; 401(k) match; medical/dental/vision; HSA; health care FSA; life insurance; short/long‑term disability; paid holidays/vacation /sick/bereavement/parental leave; EAP; incentive programs for management; auto/home insurance discounts; tuition reimbursement; scholarship program; adoption/surrogacy assistance; smoking cessation; child care/cell phone discounts; pet/legal insurance; credit union; referral bonuses. All benefits are subject to applicable plan or program terms (including eligibility terms) and may change from time to time.

TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Address:300

Value Way

Location:

USA Home Office Marlborough MA 300 Value Way

This position has a starting salary range of $76,800.00 to $97,900.00 per year. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience.

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