• Full Time
  • Internship
  • Temporary
  • Toronto, ON

LeapGrad Corp.

LeapGrad is a student professional networking app uniquely designed to transform the job market industry. The main purpose of LeapGrad 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. LeapGrad implements a wide range of unique and compelling features that enhance both the job seeking process for students and the hiring process for employers.

LeapGrad 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

Ideal Candidate Requirements:

  • 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

Nice to have:

  • Experience with big data technologies, primarily in machine learning and statistics function
  • Exposure to Apache Spark, Hadoop and Public Cloud technologies
  • Experience with big data processing tools like Spark and Hive
  • GitHub functionality and workflow experience/exposure
  • Experience with data serialization (JSON, Avro, Parquet, ORC)
  • Experience with messaging (Kafka, Solace, RabbitMQ)
  • Experience working on Iterative and Incremental development projects

What is in it for you?

  • Great team and company culture
  • Opportunity to work remotely Work with our CTO, who was recently awarded Top 30 Under 30 Developer in Canada
  • Incentivized rewards based on performance
  • Work terms are with Digital Skills for Youth Program, funded by the Government of Canada.

LeapGrad is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind: LeapGrad is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at LeapGrad are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, […], family or parental status, or any other status protected by the laws or regulations in the locations where we operate. LeapGrad will not tolerate discrimination or harassment based on any of these characteristics. LeapGrad encourages applicants from all walks of life to apply.”

Contract length: 4 months

Job Types: Full-time, Temporary, Internship

Additional pay:

  • Bonus pay


  • Casual dress
  • Flexible schedule
  • Work from home


  • 8 hour shift
  • Day shift
  • Monday to Friday
  • No weekends


  • data serialization: 1 year (Preferred)
  • building statistical and algorithmic models: 1 year (Required)
  • AWS: 1 year (Preferred)
  • machine learning: 1 year (Preferred)
  • SQL: 1 year (Required)
  • CSS, HTML, Javascript: 1 year (Required)
  • R and Python: 2 years (Required)


  • Bachelor’s Degree (Required)


  • Toronto, ON (Required)


  • English (Required)

Work remotely:

  • Temporarily due to COVID-19

Tagged as: AGI, Bachelor's Degree, contract, Data Analysis, Data Science, Data Visualization, Deep Learning, RL


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