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Data Scientist

Data Scientist

At, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make customer interactions more natural and valuable. Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem.

We're committed to providing a meaningful environment for every member of our team. We hire exceptional people and reward them with trust, autonomy, mentorship, and the freedom to grow into their roles.

We are looking for an enthusiastic Data Scientist that will help us navigate through undiscovered opportunities on our customer’s data. Your analysis will help inform experiments to run with our customers as well as our machine learning models. This is a unique opportunity for someone who wants to grow in the world of machine learning and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

What you will be doing:

  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Conduct data mining using state-of-the-art methods.
  • Extend the customer’s and company data with third party sources.
  • Work with product manager and machine learning team to drive experiment design.
  • Continually enhance data collection procedures to allow for faster experimentation.
  • Process, cleanse, and verify the integrity of the data used for analysis.
  • Complete ad-hoc analyses and present contextualized results to team members.
  • Apply a growth mindset to make things a little bit better every day.

You have:

  • Worked in a software company in a relevant quantitative space and taken action which has been instrumental in driving impact.
  • Proven achievements from implementing data products like recommendation engines, experimentation systems and others.
  • Experience with languages used for querying like SQL and statistical analysis like Python, SPSS, R, Julia etc.
  • Ability to visually present data or analysis results to a non-technical audience.
  • Proven ability to succeed in both collaborative and independent work environments.
  • Graduate degree is a plus but a love of data is a must.

The diverse experiences, ideas, and identities of’s team members help us make better decisions and drive great results. We foster an inclusive work environment that welcomes team members of all backgrounds and perspectives.

You are naturally curious, invest time to better understand complex concepts and have strong attention to detail. You love working in a team where trust is key and want to make an impact everyday. If this sounds like you, please apply and come work with us.


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