[Remote] Data Science Intern (Masters or PhD), Summer 2026 at J.M. Smucker

Irvine, California, United States

Not SpecifiedCompensation

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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 Statistical Methods, Machine Learning, Programming and Data Wrangling, Data Visualization and Communication, and Domain-Specific or Advanced Topics
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

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 technical, analytical, and professional skills while building meaningful relationships across the organization