Senior Data Scientist

Canada (Remote)
Conversational AI
Position already filled
Apply Now

Senior Data Scientist

Canada (Remote)
Conversational AI
Position already filled
Apply Now

About Glia

Our award-winning technology powers conversations with customers for some of the world’s largest enterprises. We believe that combining the human touch with technology is the best way to create amazing customer experiences. When human abilities such as problem-solving, creative thinking and relationship building are enhanced with technology... magical moments happen.

The Role:

As a Senior Data Scientist at Glia, you will focus on applying AI technologies to solve business problems, including supporting the Glia Virtual Assistant (GVA) and its advanced capabilities. As part of the Product organization, you will work side by side with product managers, designers and engineers to decide r on feature feasibility, priorities and design decisions, and will work to ensure key architectural and machine learning principles  are taken into account when designing state of the art capabilities in conversational AI. With your technical data science background, you understand both the business and technical needs from different stakeholders. You also collaborate with other parts of the fast-growing company to deploy your work to the real world, and ensure  business, quality, and functional goals are met with each release. 

What you’ll do: 

  • Assess value, develop use cases, and prioritize stories, epics and initiatives to ensure work focuses on those with maximum value that are aligned with product strategy
  • Research, design, implement and deploy conversational AI related components in the product, including models, config and data.
  • Design and implement internal tools, systems and pipelines for different Phases of Data Science / Natural Language Understanding  projects as required
  • Help with the designing of our model infrastructure including how entity, intent and dialogue models are designed and integrated
  • Build, maintain and improve NLU AI model performance, and tooling to support incremental updates to models in terms of multi-turn conversation, additional understanding capabilities and contextual improvements
  • Design, configure and develop machine learning algorithms for detecting patterns in user behavior
  • Conduct research in the field, present and summarize findings from academic and industry literature and engage in continuous learning


  • Masters degree or equivalent achievement in computer science, artificial intelligence or data science. Thesis based graduate experience is preferred.
  • Minimum 3 years of data science industry experience
  • Great team player contributing to create good team culture
  • Strong experience in research and analysis, clearly identify and communicate findings and recommendations
  • Excellent verbal and technical writing skills to document and present your ideas to both technical and non-technical stakeholders
  • Strong technical and previous hands-on experience with AI deep learning, specifically in NLP, and preferably including Transformer architectures
  • Experienced in common technologies used by data science team, such as Python, SQL, Jutyper notebooks; and experience with deep learning theory and application using mxnet, Tensor flow or other deep learning frameworks 
  • Experience using large language models (LLMs) such as BERT
  • Experience with supervised and unsupervised deep learning systems, theories and frameworks. This could include text classification, entity recognition, image recognition, machine translation, recommender systems, auto-encoders, etc.
  • Strong experience in agile methodologies, processes, software engineering practices, design patterns and common systems architecture

Bonus Experience:

  • Experience with AI based virtual assistants  or chatbots
  • Experience working with / in the banking, insurance or credit union industry
  • Experience with data analysis and reporting, familiar with analytic tools such as Tableau


  • Glia stock options and competitive salary
  • Diversity: 18 languages and 15 countries represented.
  • Professional development support  (trainings, courses, conferences, books, etc)
  • Transparent career development system
  • Different options for your working preferences (office, remote, flexible)
  • Access to all the latest tools and equipment you’ll need 
  • Sports compensation, reimbursement for therapy, counseling sessions
  • Team events: annual employee awards, internal hackathons, and a dozen cool events from cooking to the Glia olympic games :)
  • Generous referral bonuses 

*Glia is an equal opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.


*Want to know more about working at Glia?  Check our Glia's Career FAQs

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Company Culture at Glia

The Employee Experience Below at Glia, Compared to a Typical U.S. Based Company
94% of employees at Glia say it is a great place to work compared to 54% of employees at a typical U.S.-based company.







What is Glia’s Mission?

To help businesses reinvent how they support customers in a digital world.

Customers should be able to engage with a brand from where they’re most comfortable and move seamlessly to other modes of communication as needed. Brands should be able to see the customer’s screen to instantly understand the customers’ point of view, and be their co-pilot to a satisfying experience.

Glia’s Digital Customer Service solution brings the in-person experience to all customer interactions - whether they start online or on the phone.

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