Data Science Intern
As a Data Science Intern, you will be responsible for helping the team to rapidly deliver analytical solutions to functional areas of the business such as Manufacturing, Sales, Marketing, etc. Through Microsoft Azure, you will help deliver insights to both Product Owners and Product Users. You will collaborate with functional business domain experts, as well as other analytics practitioners (Data Scientists, Data Engineers, Platform Engineers, Solution Developers, etc.) to execute and deliver working solutions to end users. Working as a member of thehive, you will use data science and machine learning techniques to help drive deep data analysis and uncover insights that will enable the business to make strong and strategic decisions delivering actionable business value.
- Utilizes analytical, statistical, and programming skills to understand how possible analytical techniques align to business questions and challenges across the Purina enterprise
- Models statistical and analytical solutions to business challenges using diagnostic, predictive and prescriptive techniques by collecting, analyzing, and interpreting large data sets
- Works with functional business partners to fully understand their data and enable insight discovery
- Visualizes and communicates insights using visualization tools such as Power BI
- Participates in the end-to-end lifecycle of analytics and data projects through the use of DevOps, code and model management, CI/CD and other industry standard practices that enable analytics at scale
- Prepares data for analysis using Azure technologies such as Azure Data Bricks, Azure Data Factory, and Azure Machine Learning
Requirements:
- Obtain a Bachelors’ degree or higher in Data Science, Computer Science, or related field by May 2023, OR are an incoming senior year student as of May 2023 working towards a Bachelors’ degree in Data Science, Computer Science, or related field
- One or more semesters completed with building, training, and testing artificial intelligence or machine learning models based on the data
- One or more semesters completed with analyzing, investigating, and exploring data to derive actionable insights
- One or more semesters completed with use of Python and use of relevant libraries