Remote Data Science Intern: Marketing Analytics & Modeling

Wal-Mart; Boston (MA); On-site; USD 28,000 - 41,000; Full time

Job summary

Wal-Mart is seeking a Data Science Intern to support statistical modeling and marketing measurement. This remote internship offers hands-on experience with regression, time-series, and other machine learning approaches in a real business context.

You will apply Python and SQL to prepare data, run experiments, and evaluate model performance with clear documentation. You will work alongside senior data scientists, learn how modeling choices influence business decisions, and contribute reproducible

Qualifications

• Strong foundation in statistics and regression.
• Solid quantitative fundamentals in probability and linear algebra.
• Working knowledge of Python for data analysis.
• SQL skills for data extraction and transformation.
• Ability to reason through modeling problems and explain results.
• Excellent communication of methods and assumptions.

Responsibilities

• Support development and evaluation of models including regression and time-series.
• Prepare and explore data using Python and SQL.
• Apply cross-validation and performance metrics.
• Investigate multicollinearity, overfitting, and residual patterns.
• Test and compare modeling choices and summarize results.
• Interpret model outputs and relate to business questions.
• Contribute to reproducible analytical workflows.
• Write clear Python and SQL code and document methods.

Skills

Statistics

Regression

Python

SQL

Model evaluation

Communication

Education

Statistics degree

Computer Science degree

Data Science degree

Tools

pandas

NumPy

statsmodels

scikit-learn

SciPy

Job description

Wal-Mart is seeking a Data Science Intern to support statistical modeling and marketing measurement. This remote internship offers hands-on experience with regression, time-series, and other machine learning approaches in a real business context.

You will apply Python and SQL to prepare data, run experiments, and evaluate model performance with clear documentation. You will work alongside senior data scientists, learn how modeling choices influence business decisions, and contribute reproducible