Collect, clean, preprocess and validate structured and unstructured data from various sources.
Improve data pipelines and collection methods to ensure completeness and relevance for modeling.
Perform exploratory data analysis to uncover trends, anomalies and insights.
Design, train and optimize machine learning models such as classification, regression and clustering models.
Carry out feature selection and engineering to improve model performance.
Develop predictive systems and deploy algorithms in collaboration with engineering teams.
Present analytical results using clear visualizations and narratives tailored to business needs.
Partner with business stakeholders to understand challenges and propose data-driven solutions.
Collaborate cross-functionally with commercial, IT and data engineering teams to operationalize insights.

Minimum of 5 years’ experience as a Data Scientist or in data/AI management within a technology-focused or IT-specialized company.
Practical experience with an NCP server (Network Control Protocol or related network server technologies).
Proven proficiency in Python and SQL for data manipulation, modeling and automation in an enterprise IT environment.
Strong experience with modern data visualization tools such as Quicksight, Metabase, Looker or equivalents, ideally in cloud or SaaS environments.
Deep understanding of machine learning and statistical modeling, including regression, Bayesian methods, time-series forecasting and causal inference.
Direct experience with cloud data warehouses such as Snowflake and/or BigQuery, preferably within scalable, technology-driven infrastructures.
Ability to translate business and technical needs into clear, data-driven analyses and scalable solutions, particularly in a software, IT or digital context.
Experience collaborating with multidisciplinary teams in Agile or DevOps environments (e.g., developers, product managers, data engineers).
Bilingualism: proficiency in English and French, both spoken and written, as the role involves communications with clients and stakeholders in both languages (French is an asset).

Access to employer-partially funded group benefits (coverage for you and your family).
Vacation and floating holidays to rest.
Right-to-disconnect policy to support work–life balance.
Flexibility in work location and hours (offices in the United States and Canada).
Recognition program in the form of gift cards or donations to charities.
Full access to certifications of your choice and paid time to train.

Data Scientist – Data Science

Key skills