LATEST PROJECTS
PROJECTSimdb
In-Memory Database (IMDb) is an implementation of the Redis protocol.
VibeSync
VibeSync is a research project which aims to explore the boundary of ML research with music. Inspired by recent advances with contrastive learning and joint language-audio embeddings, we aim to build a proof-of-concept system where a user specifies a playlist title and receives recommended songs. We want to see how far take this and what insights we can gain.
Recruitment
About Recruitment
We're excited about your interest in joining us! At Cornell Data Science, we are always looking to expand our team with enthusiastic and talented individuals who are passionate about data science. Recruitment is an essential process for us, aiming to attract students from diverse backgrounds and disciplines who bring fresh perspectives and innovative ideas. We offer a dynamic environment where team members can develop their skills through real-world projects and collaboration with peers and industry professionals. Join us to enhance your understanding of data science, contribute to impactful projects, and grow both personally and professionally.
Recruitment Process
Information Sessions
Cornell Data Science holds regular information sessions designed to provide prospective members with a comprehensive overview of our team and its activities. These sessions are an excellent opportunity for students to learn about the various subteams, ongoing projects, and the recruitment process. Attendees will also hear firsthand from current members about their experiences and the skills they've developed. Whether you're just curious about data science or are considering joining, these sessions are an invaluable resource to understand how CDS operates and what it means to be a part of our community. Learn more about attending our information sessions here.
Coffee Chats
We host informal coffee chats that offer a casual environment for students to connect with current team members and learn more about our projects and culture. These gatherings are perfect for anyone interested in data science, providing a platform to ask questions, discuss interests, and explore potential fit with the team. Coffee chats are not only a great way to gather insights into the daily workings of CDS but also an opportunity to network and share experiences in a friendly, welcoming setting. Learn more about attending our coffee chats here.
Application
- Interested candidates should complete the Application form.
Application Deadlines (Upperclassmen/Underclassmen)
- Thursday, January 30th, 2025 at 11:59 PM EST - Written Applications Due
- Wednesday, February 5th, 2025 at 11:59 PM EST - Application Decisions Released
- Wednesday, February 12th, 2025 at 11:59 PM EST - Interview Decisions Released
Interviews
Our interview process is designed to assess a wide range of skills and is specific to each subteam, ensuring a tailored evaluation for all candidates. Typically, interviews consist of three distinct parts: a behavioral segment, a technical assessment, and a system-design/take-home challenge. The behavioral portion evaluates how well candidates align with the team's culture and values, focusing on communication skills and problem-solving approaches. This part of the interview also critically assesses cultural fit within the specific subteam to ensure that candidates can thrive in our collaborative environment. The technical segment tests specific skills relevant to the subteam, such as data analysis or machine learning topics. The system-design/take-home challenge allows candidates to demonstrate their ability to handle real-world problems and think critically about solutions.
Offers
Following the interview process, final offers are extended to candidates who have demonstrated exceptional fit both technically and culturally within their respective subteams. Candidates receiving offers will be notified promptly, allowing them to join and immediately engage with their subteam's activities, as well as a comprehensive onboarding process. We encourage all candidates to accept their offers promptly to secure their position at their earliest convenience.