Recruitment

team

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

This semester, Cornell Data Science is opening recruitment for various subteams, with specific eligibility criteria. Our Data Engineering (DE) and Data Science (DS) subteams are exclusively recruiting freshmen, while Machine Learning Engineering (MLE) and Quantitative Finance (QF) are open to both freshmen and upperclassmen. Post-application, selected candidates will be contacted for interviews. For more details on the application process and to access the application forms, please click here.

Application Deadlines

  • The first-year/transfer student application deadline is Thursday, October 17th at 11:59 PM.
  • The upperclassmen application deadline is Thursday, September 5th at 11:59 PM.

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.