Data Science Intern

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $21 - $26 / hour

👨‍🎓 Internship

⚪️ Entry-level

📊 Data Scientist

👻 Ghost score 0%

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The J.M. Smucker Co.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1897

📣 Marketing

📦 Logistics

🏥 Healthcare

Marketing • Logistics • Healthcare

The J. M. Smucker Co. is a leading manufacturer of a wide range of consumer products that are a part of everyday life for many families. Its extensive portfolio includes brands specializing in food products such as coffee, frozen handhelds, spreads, sweet baked snacks, and pet foods and snacks. The company's commitment to quality, innovation, and sustainability is evident in its operations and product offerings. The J. M. Smucker Co. aims to deliver products that consumers trust and enjoy, focusing on inclusivity, diversity, ethics, and community impact.

📋 Description

• Collect, clean, and analyze large datasets from multiple sources using statistical and programming techniques • Interpret complex data to generate actionable insights • Communicate findings through dashboards, visualizations, and presentations • Apply supervised and unsupervised statistical modeling and machine learning techniques to solve real-world sales-domain business problems • 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 relationships across the organization

🎯 Requirements

• 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, forecasting, and data analysis • Proficiency in at least one programming language used in data science, such as Python, R, or SQL • Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, or ggplot • Relevant coursework in 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

🏖️ Benefits

• Unique opportunities to network and interact with company leadership • Customized professional development sessions • Competitive compensation package • Paid corporate holidays • Dedicated mentor • Hands-on training • Collaborative and supportive environment • Opportunities to connect with peers and leaders throughout the company

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