Intern - Data Science
POSITION SUMMARY:
The Data Science Intern is going to assist the Data Science Team who works to gain experience and skills in the field. Data Science Intern core duties and tasks are – analyzing large amounts of raw information; building products to extract valuable business insights; identifying valuable data sources and automating collection processes; undertaking preprocessing of structured and unstructured data; proposing solutions and strategies and combining models through ensemble modeling. Other duties include executing all other documentation and administrative tasks as assigned by the management.
To ensure success in this, field, the intern must possess the following skills – experience in data mining; good knowledge of machine-learning and operations research; good understanding of R, SQL, Databricks and Python; familiarity with Scala, Java, and C++; and an analytical mindset.
RESPONSIBILITIES:
- Interpreting data to create visualizations that help identify trends or patterns in data
- Developing new methods for collecting data, including designing surveys or experiments, and recruiting participants
- Identifying opportunities to apply new technologies to improve existing processes or procedures
- Communicating with clients to gain a better understanding of their needs and goals
- Providing recommendations based on research findings and data analysis
- Interpreting data to create visualizations that help identify trends or patterns in data
- Recommending improvements to existing predictive models or creating new models from scratch
- Conducting research on specific topics using various data collection methods such as surveys, interviews, focus groups, and application of statistical models
- Identifying opportunities for growth within an organization by analyzing data on customer preferences and buying habits
QUALIFICATIONS:
Working towards a Bachelor's degree (prefer rising Senior) or Master's degree in computer science, statistics, mathematics, data analytics or another closely related field. Specialization in AI/ ML as part of their curriculum.
HOW YOU SHOW UP:
- Understanding and Adopting the Organization Culture.
- Effective Communication to collaborate with others, share ideas and learn from one another. You can also use communication skills to present data and findings to your team’s stakeholders.
- Must be Curious enough to unlock solutions to known problems and uncover hidden, overlooked insights
- Business Acumen to understand the needs of a business and how data science can help it grow.
- Storytelling in conveying their results logically, clearly and allowing decision-makers to see things from a new perspective.
- Able to quickly Adopt new technologies.
- Critical Thinking to perform an objective analysis for a given problem, to frame questions correctly, and determines how their findings can help bring an organization closer to a desired course of action.
PROGRAM HIGHLIGHTS:
- 10-week paid internship (May 30-Aug 4) with formal orientation and onboarding
- Networking opportunities with peers and leaders throughout the summer
- Cross-Departmental group project focused on an enterprise-wide solution presented at company-wide event
- Presentation skills coaching sessions
- Lunch-and-Learn Series—weekly business acumen and skill classes delivered by company leaders
- Access to mentors (former program participants)
- Paid time off to volunteer and make an impact in your community