Nuvoola AI is hiring a Data Scientist in Chambly!

  • QC
  • Quebec

Name of Hiring Company: Nuvoola AI

Nuvoola AI is an artificial intelligence firm based in Quebec, Ontario, and New Brunswick. We are market leader in Artificial Intelligence (AI) computer vision, implementing virtual guard solutions, with facial, license plate and character recognition, leveraging natural language interaction for various market and industries. We thrive at optimizing business processes and solving complex operational problems. We are a recognized and talented team partnering with the best in the industry and take serious proud of helping our customer reduce their operating cost, be more competitive while improving their overall efficiency.

We offer a stimulating, high technology work environment and state-of-the-art projects, coupled with professional development and continuing education with access to international conferences and sophisticated work equipment.

Nuvoola subscribes to the principle of equal access to employment and promotes the diversity of the workforce.

Job Description:

Job Title: Data Scientist

Sector: Natural and Applied Science + Related Fields

Designated Work Area: Montreal or Chambly (QC), Ottawa (ON), Caraquet (NB), Remote

Diplomas: Masters or PhD

Level in English: Bilingual

Level in French: Fluent

Are you passionate about building bleeding edge solutions?

Join the Nuvoola AI team as an AI Scientist and contribute to solving interesting business challenges. This is a unique opportunity to make a big impact!

You will develop innovative solutions in-house and with clients in a variety of industries, such as Utility, Entertainment, Financial Services, Public Sector, Retail, and Transportation. We believe in small multi-disciplinary teams of developers, architects, designers, and industry experts that collaborate in short sprints and agile cycles. This role will involve significant client interaction and outputs may be used for board level demonstrations.

Primary Responsibilities:

  • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business decisions.
  • Applies scripting and programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
  • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings and recommendations in a simple, clear way to drive action.
  • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
  • Helps define the strategic direction that Nuvoola AI should take with respect to AI.
  • Influences stakeholders on the best approaches to use for deep learning.
  • Identifies cloud infrastructure needs for deep learning.
  • Evaluates and makes recommendations for new tools, techniques, and technologies to develop and support evolving operational needs in the AI ​​space.
  • Designs and develops custom data models and algorithms for the Nuvoola AI product line.
  • Institutionalizes and develops the practice of data scientist within Nuvoola AI.
  • Popularize complex solutions so that they are clear and understandable for non-experts.
  • Promotes data science at Nuvoola AI, its customers and to the external community.
  • Acts as a liaison between our University partners and Nuvoola AI (University of Moncton & ETS). Works closely and supervises the future holders of a doctorate working on our innovating projects with such key partners. Will physically work at those facilities when required.

Essential Skills & Qualifications

  • University Degree in Computer Science, Math, or related field or equivalent. Masters or PhD preferred.
  • 5+ years of work experience directly related to quantitative analysis with proven results.
  • 3+ years of work experience across a broad set of data science skills, including traditional statistical methods, machine learning and Natural Language Processing.
  • 3+ years of experience with time-series analysis, forecasting, and anomaly detection
  • Strong knowledge and hands-on experience with R, Python, SQL and C.
  • Excellent oral and written communication skills (English and French)
  • Excellent analytical, interpersonal and communication skills, including strong presentation skills.
  • Dynamic, positive attitude, practical, takes initiative to solve problems.
  • Excellent time management, organizational and collaborative skills.





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