Remote Data Science Intern: Drive Sales Insights

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

Benefits offered by this job

Remote internship

Mentorship

Competitive compensation

Career development

Job summary

The J.M. Smucker Company is offering a Data Science Intern role that supports sales, marketing, and other business-critical processes. You will collect, clean, analyze large datasets, build dashboards, and communicate insights to stakeholders.

Enrolled in a graduate program in a quantitative field, you will apply statistics and machine learning to real-world problems in the sales domain, using Python, SQL, and visualization tools while collaborating across teams and senior mentors.

Qualifications

• Strong foundation in statistical modeling and data analysis.
• Experience with regression, classification, clustering, forecasting.
• Proficiency in Python, R, or SQL for data processing and analysis.
• Familiarity with data visualization tools to tell data-driven stories.
• Relevant coursework in statistics, ML, programming, data wrangling, visualization, and time series.

Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
• Interpret data and communicate insights via dashboards and presentations.
• Apply supervised and unsupervised ML techniques to business problems in sales.
• Collaborate with cross-functional teams to drive improvements.
• Develop analytical and professional skills through mentorship and projects.

Skills

Python

R

SQL

Statistics

Data Visualization

Machine Learning

Communication

Education

Graduate program in Statistics/Data Science/CS

Tools

Tableau

Power BI

Matplotlib

ggplot2

Job description

The J.M. Smucker Company is offering a Data Science Intern role that supports sales, marketing, and other business-critical processes. You will collect, clean, analyze large datasets, build dashboards, and communicate insights to stakeholders.

Enrolled in a graduate program in a quantitative field, you will apply statistics and machine learning to real-world problems in the sales domain, using Python, SQL, and visualization tools while collaborating across teams and senior mentors.