Join 7-Eleven as a Data Science Intern to analyze data, develop machine learning models, and contribute to data-driven business decisions during a paid summer internship.
Your Role
Key responsibilities include:
- Assist in analyzing large datasets to uncover trends and insights.
- Support data interpretation and communicate findings to both technical and non-technical stakeholders.
- Work with the team to develop and experiment with machine learning models.
- Help evaluate model performance and optimize algorithms for better accuracy.
- Assist in cleaning and preparing raw data for analysis and modeling.
- Address missing or inconsistent data to maintain high data quality.
- Conduct basic statistical analysis to validate hypotheses.
- Work on designing and analyzing experiments to support business decisions.
- Explore and create relevant features to improve model performance.
- Learn about feature selection techniques to enhance predictive accuracy.
- Create visualizations using tools like PowerBI, matplotlib, or seaborn to present data insights.
- Assist in preparing reports and presentations for stakeholders.
- Work closely with data scientists, engineers, and business teams to understand data needs.
- Stay updated with the latest data science trends and technologies.
About You
The company is looking for candidates who meet the following qualifications:
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Familiarity with Python or R for data analysis.
- Experience with Pandas or similar libraries for data manipulation.
- Basic understanding of supervised and unsupervised machine learning.
- Experience with PowerBI, matplotlib, or seaborn for data visualization is a plus.
- Exposure to SQL and database querying is preferred.
- Understanding of basic statistical concepts and hypothesis testing.
Compensation & Benefits
- Paid internship opportunity.
- Opportunity to contribute to meaningful projects impacting business decisions.
- Collaborative and learning-focused environment.
Training & Development
- Mentorship from experienced data scientists and engineers.
- Participation in a lunch series providing cross-functional organizational insights and exposure to senior leadership.
- Robust events including in-store experience, hack day, and capstone presentation.
- Experience touring a store and learning about distribution systems.
Career Progression
- This internship serves as a stepping stone for those looking to start a career in data science.
How to Apply
- Submit your application through the provided link, ensuring all required information is included.
This job may close before the stated closing date, you are encouraged to apply as soon as possible.
Report this job