Associate Data Scientist Internship - Customer Data & Analytics
About the role
Data Scientist Internship
Gap Inc. Technology is looking for exceptional talent with fresh ideas, cutting-edge skills, and a passion for technology. We're not your average IT shop, and this isn't your average internship. In your 10 weeks with Gap Inc. you'll have a voice in the room, be pushed to take risks, and play a critical role in innovative projects that are transforming retail technology. Ready to get started?
What's In It for You?
As a Gap Inc. Intern, you will gain valuable work experience in a fast paced and innovative environment, here in beautiful San Francisco. By the end of the 10 weeks you will have completed business critical projects, which you will present to your senior leadership team. Don't expect to be running around getting coffee. Many intern's projects have been implemented by the business and are currently driving incredible results for the company. Here at Gap Inc., we like to reward success. You are invited to participate in events, such as Giants games, happy hours, ping-pong tournaments, bowling nights, volunteering events in the community, etc.
Here's what you will do all summer!
-Work alongside our Customer Data & Analytics team and fellow interns on customer segmentation and descriptive analysis projects
-Use the latest technologies, tools, and technologies in the field- harnessing vast pools of information available in our brands' data systems
-Develop data product tools, such as dashboards and mapping tools
- Apply analytical and data science methods (regression, clustering, classification, text analysis) to real world datasets to solve ongoing business problems
-Present results of analysis to team members, business partners, and Gap executives
-Meet Sr. Data Scientists, advanced analytics experts, and Product Managers to understand the role that analytics play in a 16 billion-dollar global organization
Who you are
Here's what you need to get the work done
-Undergraduate, graduate, or PhD student with one year or less left to graduate in Data Science, Statistics, Mathematics, Computer Science, Machine Learning, Management Information Systems, Information Systems, Information Technology, Integrated Systems Engineering, or related degree with a GPA of 3.0 or above
-Statistical and data analysis skills
-Languages: Python, SAS, SQL, or R. Combinations of these skills are very useful.
-Data visualization using tools, such as Tableau or D3
-Basic statistical modeling skills (regression, logistic regression, clustering)
-An ability to think abstractly and work cross functionally
-Strong communication and presentation skills
-A desire to evolve excellent problem solving skills; meticulous and methodical
Meet Some of Gap Inc.'s Employees
Tamika N.Production Manager, Gap Factory
As Production Manager, Tamika sources all sorts of fabrics and clothing materials in order to help bring the Design and Merchandising Team’s vision to life for Gap Factory.
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