[Hiring] Data Science Intern @The J.M. Smucker Co.

Role Description

As a Data Science Intern on our Data Science team, you will play a key role in supporting data-driven decision-making across sales, marketing, and other business-critical processes. This is an opportunity to apply your analytical, statistical, and technical skills in a real-world environment, directly impacting sales strategies.

Location: Remote

Work Arrangements: Remote

In this role, you will:

• Collect, clean, and analyze large datasets from multiple sources using statistical and programming techniques.
• Interpret complex data to generate actionable insights and effectively communicate findings through dashboards, visualizations, and presentations.
• Apply statistical modeling and machine learning techniques (both supervised and unsupervised) to solve real-world business problems in the sales domain.
• Collaborate with cross-functional teams to support issue resolution, identify proactive improvement opportunities, and contribute to business outcomes.
• Enhance your technical, analytical, and professional skills while building meaningful relationships across the organization.

Qualifications

• Enrolled in a graduate program (MS, PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong foundational knowledge in statistical modeling, machine learning (e.g., regression, classification, clustering), forecasting, and data analysis.
• Proficiency in at least one programming language used in data science (e.g., Python, R, SQL).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot) and an ability to tell compelling stories with data.
• Relevant coursework completed, including but not limited to:
  • Statistical Methods (e.g., Applied Statistics, Regression Analysis, Bayesian Statistics)
  • Machine Learning (e.g., Supervised and Unsupervised Learning, Neural Networks, Deep Learning)
  • Programming and Data Wrangling (e.g., Python for Data Science, Data Manipulation with R, SQL for Data Analysis)
  • Data Visualization and Communication (e.g., Data Storytelling, Advanced Visualization Techniques)
  • Domain-Specific or Advanced Topics (e.g., Time Series Analysis, Forecasting, Optimization Techniques, Econometrics)
• Strong problem-solving skills with the ability to “connect-the-dots” across data and business needs.
• Good communication skills for presenting technical concepts to non-technical stakeholders.

Requirements

• Application period closes on December 7th, 2026.

Benefits

• Unique opportunities to network and interact with company leadership.
• Customized professional development sessions.
• A competitive compensation package, including paid corporate holidays.
• Compensation range: $21/hr - $26/hr (Actual hourly rate is determined based upon the year of college that will be completed at the start of the internship).