Data Science Summer Intern

Job Summary WebstaurantStore, the world’s largest online restaurant supply company, is looking for a Data Science Intern to join the Data Science team. Our Data Scientists use statistics, machine learning, experimentation, and data analysis to discover actionable insights and build solutions that improve the customer experience and business performance. As a Data Science Intern, you will work alongside experienced Data Scientists on a well-defined, real-world project. You will gain hands‑on experience working with large datasets, applying statistical and machine learning techniques, and communicating your findings to technical and business partners. This internship is designed for someone who is eager to learn, comfortable asking questions, and excited to apply their technical knowledge to real business problems. This will be a full-time summer internship, with the possibility of continuing part-time into the fall. Extension into the fall is optional and is not a requirement of the internship. Responsibilities Responsibilities include, but are not limited to: Work with a Data Scientist or manager to understand a well‑defined business problem and translate it into an analytical or modeling approach. Gather, query, clean, and explore data needed to support your project. Conduct exploratory data analysis to identify patterns, relationships, and potential data quality issues. Apply appropriate statistical or machine learning techniques to solve a defined problem. Evaluate model or analytical results using appropriate metrics and validation techniques. Create clear visualizations that help technical audiences understand your findings. Write clean, logical, readable, and well‑documented Python and SQL code. Communicate project progress, challenges, assumptions, and results to your manager and other Data Scientists. Ask questions and seek clarification when requirements, data, or methodology are unclear. Incorporate feedback from other Data Scientists and iterate on your work. Present your approach, findings, and recommendations at the conclusion of your project. #J-18808-Ljbffr Clark Associates, Inc.