Remote Data Science Intern — Drive Sales Insights

The J.M. Smucker Company; Orrville (OH); Remote; USD 29,000 - 36,000; Full time

Benefits offered by this job

Leadership exposure

Mentor program

Paid holidays

Competitive pay

Job summary

The J.M. Smucker Company is offering a Data Science Intern role focused on supporting data-driven decisions across sales, marketing, and other key processes.

You will work remotely, applying statistics, ML, and data visualization to derive actionable insights and communicate them through dashboards and presentations. Ideal candidates are enrolled in a graduate program in a quantitative field and proficient in Python, R, or SQL, with strong communication skills and a solid foundation in ML and

Qualifications

• Graduate program enrollment in a quantitative field.
• Strong foundation in statistical modeling, ML, forecasting, and data analysis.
• Proficiency in Python, R, or SQL.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
• Interpret data to generate actionable insights and communicate findings via dashboards and presentations.
• Apply statistical modeling and ML to real-world sales problems.
• Collaborate with cross-functional teams to support improvements.
• Build skills and relationships across the organization.

Skills

Python

R

SQL

Statistics

Machine learning

Data visualization

Communication

Education

MS/PhD in Statistics, Applied Mathematics, Data Science, CS, Economics, Engineering

Tools

Tableau

Power BI

matplotlib

ggplot

Job description

The J.M. Smucker Company is offering a Data Science Intern role focused on supporting data-driven decisions across sales, marketing, and other key processes.

You will work remotely, applying statistics, ML, and data visualization to derive actionable insights and communicate them through dashboards and presentations. Ideal candidates are enrolled in a graduate program in a quantitative field and proficient in Python, R, or SQL, with strong communication skills and a solid foundation in ML and