O2 Commerce

Data Scientist – Data Scientist

O2 Commerce

full-time

Posted on:

Location Type: Hybrid

Location: Montréal • 🇨🇦 Canada

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

BigQueryPythonSQLTypeScript

About the role

  • Collect, clean, preprocess and validate structured and unstructured data from multiple sources.
  • Improve data pipelines and collection methods to ensure completeness and modeling relevance.
  • Perform exploratory data analysis to uncover trends, anomalies and insights.
  • Design, train and optimize machine learning models such as classification, regression and clustering models.
  • Perform feature selection and feature engineering to improve model performance.
  • Develop predictive systems and deploy algorithms in collaboration with engineering teams.
  • Present analytical results using clear visualizations and storytelling 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.

Requirements

  • Minimum 5 years of 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 in scalable, technology-focused 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 cross-functional 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).
Benefits
  • Access to group benefits partially covered by the employer (group insurance for you and your family).
  • Vacation and flexible days for rest.
  • Right-to-disconnect policy to support work–life balance.
  • Flexibility of 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 any certifications you want and paid training while you learn.
  • Work with over 100 certified experts at one of the market’s most recognized agencies.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data cleaningdata preprocessingdata validationexploratory data analysismachine learningfeature selectionfeature engineeringpredictive modelingPythonSQL
Soft skills
communicationcollaborationproblem-solvingstorytellinganalytical thinking