Junior Data Scientist

Modaxo•Montreal, QC

21h•Onsite

About The Position

Expretio is looking for a Junior Data Scientist to join its dynamic R&D team based in Montreal. As part of an AI team, you will contribute to the development and support of Appia, our flagship Revenue Management solution for the rail industry, supporting data analysis, predictive modeling, and customer purchasing behavior analysis. As a Junior Data Scientist, you will work in a role with a strong operational and analytical focus: data preparation and validation, data quality investigations, dashboards, and the production of clear results for the team. In parallel, you will develop proof-of-concept solutions in Python aimed at contributing to the improvement of components within our analysis and monitoring chain. This role is an ideal entry point into Expretio's Artificial Intelligence and Revenue Management ecosystem. You will work closely with experienced Data Scientists, AI developers, and operations research scientists, while developing your technical skills and domain knowledge. This role is designed to grow: as you progress, data science and modeling will take on a greater share of your responsibilities.

Requirements

Bachelor's degree in data science, mathematics, statistics, or a related field (Master's an asset)
Internship or academic project experience in machine learning and data analysis
Skills in exploratory data analysis and data quality control
Ability to interpret data and derive actionable insights
Solid knowledge of Python for data manipulation and analysis (pandas)
Understanding of Machine Learning models, particularly ensemble methods (Random Forest, bagging) and boosting algorithms (XGBoost, LightGBM, gradient boosting)
Familiarity with predictive modeling and time series analysis
Solid foundations in SQL and data manipulation
Proficiency with data visualization tools (Power BI or equivalent), including the design of interactive reports
Ability to clearly communicate analytical results, both internally and to clients
Use of generative AI tools for analysis tasks
Ability to communicate effectively in French and English
Curiosity and a strong willingness to learn new technologies and concepts
Attention to detail in data analysis and model validation
Ability to communicate with a variety of stakeholders, tailoring message to each audience
Ability to work in a team and receive feedback constructively
Rigor and good time management
Awareness of responsible AI considerations when using generative AI tools

Nice To Haves

Any relevant additional training in data science is considered an asset
Experience with Google OR-Tools in an optimization context

Responsibilities

Support data quality investigations and statistical analyses
Contribute to the design and updating of dashboards and data visualizations
Produce clear summaries and reports of analytical results
Use generative AI tools to support analysis, extraction, and internal tooling tasks
Participate in the evolution and automation of the calibration and monitoring chain
Verify and document the quality and consistency of the results produced
Develop proof-of-concept solutions in Python for analysis and predictive modeling components
Contribute to the improvement of components and algorithms involving data science
Create model validation tests and documentation for analytical features
Contribute to the improvement of the data science architecture and predictive models within Appia
Work with clients to understand behaviors and adapt models to their needs
Work with the Support team to analyze and resolve Production issues
Take part in retrospectives and propose continuous improvements