Role: Data Scientist
Location: Toronto, ON – Onsite
Contract role
Job Summary:
The candidate will be responsible for analyzing large datasets, developing data-driven solutions, building predictive models, and supporting business decisions through data insights.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and business insights.
- Develop data science solutions using Python and relevant data science libraries.
- Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.
- Develop and optimize data processing pipelines using PySpark.
- Build, test, and validate statistical and machine learning models.
- Work with structured and unstructured data from multiple sources.
- Perform model evaluation, tuning, and performance optimization.
- Collaborate with data engineers, business analysts, and application teams.
- Present analytical findings and model results to technical and business stakeholders.
- Maintain documentation for data models, analysis, methodologies, and processes.
- Monitor model performance and identify opportunities for improvement.
Required Skills
- Strong hands-on experience with Python for Data Science.
- Strong experience with PySpark and distributed data processing.
- Good knowledge of Pandas, NumPy, and Scikit-learn.
- Strong understanding of statistics, data analysis, and machine learning concepts.
- Experience with data preprocessing, feature engineering, and model development.
- Good knowledge of SQL and relational databases.
- Experience working with large datasets and big-data environments.
- Strong problem-solving and analytical skills.
- Good communication and stakeholder management skills.
Good to Have
- Experience with AWS, Azure, or GCP.
- Knowledge of Databricks or other Spark-based platforms.
- Experience with machine learning and predictive analytics.
- Knowledge of ML deployment/MLOps concepts.
- Experience with data visualization tools such as Power BI or Tableau.
- Knowledge of NLP or Generative AI is an advantage.
