Data Science Intern, Summer 2027
About The Position
As a Data Science Intern on the Data Science team, you will support data-driven decision-making across sales, marketing, and other business-critical processes. You will apply analytical, statistical, and technical skills in a real-world environment and contribute directly to sales strategies. The role is remote and is part of the Summer 2027 internship program. You will work with large datasets from multiple sources, interpret data to produce actionable insights, and communicate findings through dashboards, visualizations, and presentations. You will also apply statistical modeling and machine learning methods to business problems in the sales domain and collaborate with cross-functional teams to support issue resolution and identify improvement opportunities. The internship offers hands-on training with a dedicated mentor, opportunities to connect with peers and company leaders, customized professional development sessions, and work on high-profile projects supporting categories such as snacks, coffee, and pet food.
Requirements
- Be enrolled in a graduate program (MS or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative field.
- Have foundational knowledge of statistical modeling, machine learning (such as regression, classification, and clustering), forecasting, and data analysis.
- Be proficient in at least one data science programming language, such as Python, R, or SQL.
- Be familiar with data visualization tools such as Tableau, Power BI, matplotlib, or ggplot, and be able to tell compelling stories with data.
- Have completed relevant coursework in statistical methods, machine learning, programming and data wrangling, data visualization and communication, or advanced and domain-specific topics.
- Have strong problem-solving skills and the ability to connect data insights with business needs.
- Have good communication skills for presenting technical concepts to non-technical stakeholders.
Responsibilities
- Collect, clean, and analyze large datasets from multiple sources using statistical and programming techniques.
- Interpret complex data to generate actionable insights and communicate findings through dashboards, visualizations, and presentations.
- Apply supervised and unsupervised statistical modeling and machine learning techniques to 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.
- Develop technical, analytical, and professional skills while building relationships across the organization.
Benefits
- Opportunities to network and interact with company leadership
- Customized professional development sessions
- Competitive compensation package
- Paid corporate holidays
- Hands-on training with a dedicated mentor
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What This Job Offers
Career Level
Intern
