Remote Data Science Intern: Insights, ML & Dashboards

The J.M. Smucker Co.; United States; Remote; USD 29,000 - 36,000; Full time

Benefits offered by this job

Networking with leadership

Professional development sessions

Paid corporate holidays

Competitive hourly pay

Job summary

The J.M. Smucker Co. offers a Data Science Intern role focused on supporting data-driven decisions across sales, marketing, and business-critical processes.

You will work remotely, applying statistical, analytical, and ML skills to real-world problems, with opportunities to present findings to stakeholders. Ideal candidates are enrolled in a graduate program (MS/PhD) in a quantitative field, proficient in Python/R/SQL, and capable of communicating insights through dashboards and visuals.

Qualifications

• Enrolled in a graduate program (MS, PhD) in a quantitative field.
• Strong foundations in statistical modeling, ML, forecasting, and data analysis.
• Proficiency in at least one data science language (Python, R, SQL).
• Familiarity with data visualization tools and storytelling with data.
• Relevant coursework in statistics, ML, programming and data wrangling.
• Strong problem-solving and communication skills for non-technical stakeholders.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
• Interpret data to generate actionable insights and communicate findings via dashboards and visuals.
• Apply modeling and ML techniques to business problems in sales.
• Collaborate with cross-functional teams to support improvements and outcomes.
• Develop and grow technical, analytical, and professional skills.

Skills

Statistical modeling

Machine learning

Data analysis

Data storytelling

Communication

Python

R

SQL

Education

Graduate program in Statistics/Data Science (MS/PhD)

Tools

Python

R

SQL

Tableau

Power BI

matplotlib

ggplot

Job description

The J.M. Smucker Co. offers a Data Science Intern role focused on supporting data-driven decisions across sales, marketing, and business-critical processes.

You will work remotely, applying statistical, analytical, and ML skills to real-world problems, with opportunities to present findings to stakeholders. Ideal candidates are enrolled in a graduate program (MS/PhD) in a quantitative field, proficient in Python/R/SQL, and capable of communicating insights through dashboards and visuals.