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 modern data analytics tools to drive data-informed strategies and outcomes.

Key Responsibilities

- 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

- Solid 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





- 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.
- Robust 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, negotiation, and decision-making skills.
- Proven ability to work effectively within multidisciplinary team environments and meet project deadlines.

Preferred Qualifications

- Advanced degree in Statistics, Data Science, Social Sciences, or a related discipline.
- Professional certifications such as the IBM Data Science Skilled Certificate, Google Data Engineer Certification, or similar credentials.
- Awareness of emerging informati

📌 Data Scientist (Toronto)
🏢 Symbiotic Group
📍 Toronto