Position: Data Scientist

Location: Toronto, ON

Job ID#: RQ11452

Duration: 12 Months

Role Overview

We are seeking a Senior Data Scientist to analyze complex datasets, develop predictive models, and generate actionable insights that support business decision-making. The successful candidate will leverage statistical analysis, machine learning methodologies, and contemporary data analytics tools to drive data-informed strategies and outcomes.

Key Responsibilities

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- Analyze complex datasets to generate predictive models and insights that inform business strategies.

- Apply statistical methods, machine learning techniques, and programming languages to interpret data and provide actionable insights.

- Initiate, research, develop, and manage information studies while creating innovative statistical models for data analysis.

- Conduct exploratory analysis to understand data characteristics and identify trends, patterns, and opportunities.

- Identify business problems that can be addressed through data analysis and analytics solutions.

- Identify relevant data sources and collect structured and unstructured datasets to support business objectives.

- Develop data-driven solutions that improve business performance and support decision-making.

- Collaborate with cross-functional teams to integrate data insights into organizational strategies.

- Develop predictive models and analytical frameworks to support strategic and operational objectives.

- Analyze and interpret both spatial and non-spatial datasets to support planning, compliance, reporting, and decision-making.





- Integrate data from multiple sources and provide recommendations that support evidence-based decisions.

Required Qualifications

Technical Knowledge & Skills

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- Strong knowledge of information management, data management, database architecture, data governance, metadata management, master data management, data lineage, ETL processes, data warehousing, and data integration.

- Knowledge of data modernization, digitization methodologies, data quality improvement practices, and management of structured, semi-structured, unstructured, historical, and legacy datasets.

- Proficiency in statistical analysis, data mining, predictive analytics, artificial intelligence, machine learning, research methodologies, and data modelling techniques.

- Knowledge of data analytics, including relational databases, geospatial analysis, spatial data management, data visualization, and analytical frameworks.

- Advanced SQL skills for data extraction, transformation, and analysis.

- Strong proficiency in Python, R, or equivalent analytical programming tools.

- Experience with analytics and visualization tools such as Power BI, Tableau, R Shiny, ArcGIS, or equivalent platforms.

- Knowledge of information management standards, data governance frameworks, accessibility requirements,



and applicable industry standards.

- Experience with database management systems.

- Experience with version control tools such as Git.

- Experience working with large-scale datasets.

Research, Analytical & Problem-Solving Skills

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- Ability to assess complex datasets and identify data quality issues including duplicates, inconsistencies, missing values, and invalid records.

- Ability to support data migration, digitization, modernization, and information management initiatives.

- Experience identifying and documenting business data requirements and translating them into analytical solutions.

- Ability to identify trends, patterns, relationships, and insights within complex datasets.

- Experience developing predictive models, business intelligence solutions, and analytical frameworks.

- Ability to apply innovative analytical methods and emerging technologies to address business challenges.

Communication & Collaboration Skills

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- Strong verbal and written communication skills with the ability to explain complex analytical concepts to technical and non-technical audiences.

- Experience preparing technical documentation, reports, data dictionaries, source-to-target mappings, and data flow diagrams.

- Ability to collaborate effectively with stakeholders, analysts, specialists, project teams, and technical resources.

- Experience presenting insights through reports, dashboards, maps, presentations, and visualization tools.

- Strong facilitation, interpersonal, problem-solving, negoti

📌 Data Scientist (Canada)
🏢 Symbiotic Digital
📍 Canada