Job Description
Role description
Job Title: Data Scientist
Location: Montreal
Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics
Role Summary
We are seeking a
Data Scientist
with strong experience in
machine learning, statistical modeling, data analysis, and cloud-based data solutions
. The ideal candidate will work closely with cross‑functional stakeholders to design, develop, deploy, and optimize data‑driven solutions that drive business impact, improve user experience, and support informed decision‑making.
Key Responsibilities
- Design, develop, and deploy
machine learning and predictive models
to solve business problems such as personalization, forecasting, anomaly detection, and classification
- Perform
data exploration, feature engineering, and statistical analysis
on large and complex datasets
- Build and maintain
end‑to‑end ML pipelines
, including training, deployment, monitoring, and performance optimization
- Collaborate with product, engineering, marketing, and business stakeholders to translate requirements into data solutions
- Conduct
A/B testing and experimentation
to evaluate model effectiveness and product features
- Develop
dashboards and reports
to communicate insights, KPIs, and model outcomes to technical and non‑technical audiences
- Optimize data workflows using
SQL, ETL processes, and cloud services
- Contribute to
data quality, governance, and best practices
- Mentor junior data scientists and contribute to technical knowledge sharing within the team
Required Technical Skills
Programming \& Data
- Python (Pandas, NumPy, SciPy, Statsmodels)
- SQL
- R (working knowledge)
- Git / Version Control
Machine Learning \& AI
- Supervised and unsupervised learning techniques
- Deep Learning frameworks (PyTorch, TensorFlow, Keras)
- Predictive modeling, classification, regression, time‑series analysis
- Feature engineering and model evaluation
- Computer Vision and NLP exposure (including LLM‑based prototypes)
Data Visualization \& BI
- Power BI
- Tableau
- Data visualization libraries (Matplotlib, Seaborn, Plotly)
Cloud \& Big Data
- AWS (SageMaker, S3, Lambda, Glue, IAM)
- Spark / Databricks
- MLOps tools (MLflow, CI/CD pipelines for ML)
Tools \& Platforms
- Databricks
- Streamlit
- Jira
- Excel / PowerPoint / SharePoint
Required Qualifications
- Bachelor’s degree in
Computer Engineering, Electrical Engineering, Data Science
, or related field
- Master’s degree in
Data Science, Analytics, or a related discipline
is preferred
- 5+ years of hands‑on experience in
data science, machine learning, or advanced analytics roles
- Strong communication skills with the ability to present insights to senior stakeholders
Nice to Have
- Experience with
personalization and recommendation systems
- Experience in
revenue, marketing, or user‑behavior analytics
- Exposure to
real‑time or streaming data solutions
- Experience mentoring or leading junior team members