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Maropost

Data Scientist/NLP Engineer

Development – Toronto, Ontario
Department Development
Employment Type Full-Time
Minimum Experience Experienced

Maropost is no longer Toronto's best kept secret. We're officially on the map after earning recognition from industry analysts and growth indices-including the #4 spot on the Deloitte Fast50 and the #3 spot on the Canadian PROFIT500. 

This job is a unique opportunity to get in on the ground floor of one of Canada's fastest growing (and most disruptive) SaaS companies. Our innovative marketing and sales platforms are already being adopted by some of the world's biggest brands-like Mercedes-Benz, New York Post, and Rolling Stone-and the list keeps growing. 

We are currently looking for a experienced and motivated Data Science/NLP Engineer highly experienced in Natural Language Processing (NLP), Machine Learning (ML), Artificial Intelligence(AI) and Deep Learning Models to join our team and contribute to Maropost’s vision of enabling our customers to own the experience.

As a leader in your field, you will be working as part of a team to define and execute data science solutions using NLP, ML, AI, and Deep Learning Models.  You will proactively lead new product research in the Product Development team, and collaborate closely with the software development team to productize models and algorithms into new features in our SaaS platform.

Our ideal candidate has a fearless attitude. He’s also creative, adaptable, positive, proactive and a hard-worker. 

What you will be doing

  • You will develop and operationalize Natural Language Processing algorithms to solve practical applications related to both business and consumer-oriented marketing automation.
  • You will analyze customer data sets to define/determine algorithms which enable highly relevant personalization, predictions, and other insights.
  • You will build and perfect machine learning models.
  • You will work with implementation teams to operationalize your models and algorithms into product features
  • You will interpret data and trends, and present product feature recommendations for the product roadmap 
  • You will inform, influence, support, and execute our product decisions and product launches

About you

  • You have a Degree in Statistics, Computer Science, Computer Engineering or related field
  • You have solid understanding Data Structure, Algorithims, NLP, ML, AI.
  • You have experience with NLP libraries such as NLTK, Stanford NLP, Python and shell scripting
  • You have In-depth knowledge of deep learning networks like CNN, RNN
  • You have Experience with Deep Learning libraries (e.g. Tensor Flow, DeepLearning4J) 
  • You’ve spent 5+ years analyzing large data sets and applying the abovementioned technologies in commercial environments 
  • You are a master of modeling and predictive analytics skills and experience, including multivariate data mining and machine learning techniques

Couple of reasons you might want to work here:

  • Teammates who take their work seriously, but not themselves
  • The latest tech that Apple has to offer
  • A kitchen full of fresh fruits, vegetables, and other healthy food to fuel your work
  • Great benefits with League, to cover everything from dental appointments to mindfulness apps
  • Office events like bowling nights, foosball tournaments, and beer pong, for after-hours fun

Couple of reasons this may not be the place for you:

  • We work as hard as we play. Maropost is goal and growth-focused. We work until the job is done (and then some)
  • We focus on results-rewarding and promoting quickly. We never settle for less than excellence or less than excellent people 
  • We're always growing and changing.  If you're looking for a predictable environment, where every day is the same, this isn't the job for you

Maropost welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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  • Location
    Toronto, Ontario
  • Department
    Development
  • Employment Type
    Full-Time
  • Minimum Experience
    Experienced
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