Skill: Data Scientist

Location: Toronto, Canada (Onsite Mon - Fri)

Job Type : W2/FT

Job Overview

The primary focus of this role will be to understand the information needs for the business and to provide timely accurate, congruent and reliable information to all stakeholders. Once fully ramped up in the role, the expectation for the incumbent is to also provide insights in a proactive manner for business opportunities that may not be known or easily identifiable by the stakeholders.

Reports To

Responsibilities and Duties

• Design and architect a high scalable, domain-driven data model for analytical processing and reporting.
• Implement and enhance data models on data warehouses using domain-driven design methodologies using star and snowflake data schema approaches.
• Develop analytical models and implement processes at a database level for business processing.
• Collaborate with both internal and external stakeholders to identify business needs, prioritize objectives, define key performance indicators, and formulate a data-driven strategy.
• Demonstrate leadership and initiative in gathering and analyzing information, structuring findings, and delivering presentations to stakeholders at all levels.
• Utilize machine learning algorithms and statistical techniques to extract insights and patterns from large datasets.
• Explore and experiment with new data sources, technologies, and analytical methodologies to enhance predictive modeling capabilities.
• Develop and deploy data-driven solutions that optimize business processes and improve decision-making processes.
• Collaborate with domain experts to translate business problems into analytical solutions and actionable recommendations.
• Conduct exploratory data analysis to identify trends, anomalies, and opportunities for optimization.
• Evaluate and validate model performance, ensuring accuracy, reliability, and scalability.
• Communicate complex analytical findings and technical concepts to non-technical stakeholders in a clear and concise manner.

Technical Skills

5+ years of experience

• Strong proficiency in Python for data analysis, manipulation, and modeling.
• Strong proficiency in SQL for data retrieval, manipulation, and storage.
• Strong proficiency in Snowflake technologies (including Snowpark), and the building of multi-layer data paradigms.
• Strong proficiency in data preprocessing techniques such as data cleaning, feature engineering, and dimensionality reduction.
• Knowledge of good database design practices and principles.
• Strong understanding of statistical concepts and methodologies for hypothesis testing, regression analysis, and predictive modeling.
• Experience with ML techniques (and accompanying frameworks), including supervised and unsupervised learning algorithms, neural networks, and ensemble methods.
• Familiarity with data visualization libraries for creating informative and visually appealing visualizations.
• 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