Data Scientist

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 crossfunctional stakeholders to design, develop, deploy, and optimize datadriven solutions that drive business impact, improve user experience, and support informed decisionmaking.

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 endtoend 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 nontechnical 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, timeseries analysis

Feature engineering and model evaluation

Computer Vision and NLP exposure (including LLMbased 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 handson 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 userbehavior analytics

Exposure to realtime or streaming data solutions

Experience mentoring or leading junior team members