Data Scientist (Logistics)

The TJX Companies, Inc.•Marlborough, MA

3d•$76,800 - $97,900•Onsite

About The Position

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.

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

Nice To Haves

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

Responsibilities

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