Job Description
DATA SCIENTIST
Toronto 6 - 10 Years Experience Job ID:
115756-34-1 Job description Job Title:
Data Scientist Experience Level:
10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics Location :
Canada 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
