Role descriptionJob Title: Data ScientistLocation: MontrealExperience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced AnalyticsRole SummaryWe 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 SkillsProgramming & 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
