Job Description

Role: Data Scientist

Location: Toronto Downtown , ON

Type: Fulltime

Technical Skills

• Proficiency in Python for data analysis, manipulation, and modeling.
• Strong understanding of statistical concepts and methodologies for hypothesis testing, regression analysis, and predictive modeling.
• Experience with machine learning techniques, including supervised and unsupervised learning algorithms, neural networks, and ensemble methods, using frameworks such as TensorFlow, PyTorch, or scikit-learn for building and deploying machine learning models
• Familiarity with data visualization libraries such as Matplotlib, Seaborn, or ggplot2 for creating informative and visually appealing visualizations.
• Familiarity with Python data science libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling.
• Knowledge of database systems and SQL for data retrieval, manipulation, and storage.
• Understanding of big data technologies such as Hadoop, Spark, or Hive for processing and analyzing large volumes of data.
• Proficiency in data preprocessing techniques such as data cleaning, feature engineering, and dimensionality reduction.
• Experience with version control systems such as Git for managing code repositories and collaboration.
• Ability to work with cloud computing platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and deployment of machine learning models.

Qualifications and Skills

• Bachelor's degree (Masters preferred) in a discipline such as Computer Science, Applied Math, Applied Sciences, Engineering, etc.
• Experience in Payments Industry would be an asset but not mandatory
• Proven analytical skills in defining business needs into product requirements
• Proven ability to conduct and/or lead multiple projects with minimal oversight
• Excellent communication and interpersonal skills
• Unquestionable personal and business ethics and integrity

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