Data Science Intern

Leap is a student professional networking app uniquely designed to transform the job market industry. The main purpose of Leap is to disrupt the job market industry by introducing the first ever two-sided platform that is targeted to students (high school, university, and recent graduates) and employers. Leap implements a wide range of unique and compelling features that enhance both the job seeking process for students and the hiring process for employers.

Leap is looking for a player to join our design team as we look to continue providing cutting-edge tools and support to our design and development team. You will play a key role in in our design thinking process and the creation of our web and mobile application. You will bridge the gap between design, business, and technology to ship world-class digital experiences for leading companies and global brands.


  • Utilizing the latest technologies available, designing and building data solutions to meet platform needs
  • Constantly seek out better ways to do things, new tools, new technologies, new processes
  • Work on transformational projects delivering new value
  • Work as part of an agile team responsible for end-to-end delivery of business needs
  • Deploy production-scale solutions using the Hadoop Ecosystem, transforming statistical and machine learning models from single node architecture to parallel processing grid technology
  • Independently leading the analytics process to identify valuable and innovative insights in the form of data
  • Promote analytics across the platform to enable LeapGrad to become a data-driven organization
  • Collaborate with our Lead Developer and Co-Founders across all project deliverables
  • Learn the end-to-end process of project delivery and the associated design tools involved


  • Programming skills in one or more of the following languages: Python or R
  • Experience utilizing SQL scripts/querying
  • Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning and machine learning
  • Ability to data extract, transform, and load processes with a variety of data types
  • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

What's in it for you?

  • Great team and company culture
  • Opportunity to work remotely
  • Work with a Lead Developer recently awarded Top 30 Under 30 Developer in Canada
  • Incentivized rewards based on performance