Data Scientist

Symbiotic Group; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Symbiotic Group, through its Symbiotic Digital division, seeks a Senior Data Scientist to analyze complex datasets, build predictive models, and deliver actionable insights to guide business decisions.

You will apply statistical methods, ML techniques, and modern analytics tools to quantify opportunities, assess data quality, and develop data-driven solutions. Strong collaboration with cross-functional teams is essential to translate insights into strategy across the organization.

Qualifications

• Advanced degree in Statistics, Data Science, or related field.
• Strong background in statistical analysis, data mining, and ML modeling.
• Experience with large-scale datasets and data governance.

Responsibilities

• Analyze complex datasets to develop predictive models and insights for business strategies.
• Apply statistical methods and ML techniques to interpret data and provide actionable insights.
• Identify data sources and collect structured and unstructured data to support objectives.
• Collaborate with cross-functional teams to integrate data insights into strategic decisions.
• Develop data-driven solutions to improve business performance and decision-making.

Skills

SQL

Python

Machine Learning

Data Visualization

Geospatial Analysis

ETL & Data Warehousing

Git

Big Data

Communication

Education

Advanced degree in Statistics, Data Science, or related field

Tools

Power BI

Tableau

ArcGIS

R Shiny

Job description

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

• 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

• 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.
• 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, 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 Professional Certificate, Google Data Engineer Certification, or similar credentials.
• Awareness of emerging information technology and data management trends.

Work Arrangement

• 5 days onsite as required by project needs.

About Symbiotic Digital.

Symbiotic Digital provides the IT Experts you need that solve problems and get things done. See what the top 2% in their field can do for you. (Symbiotic Digital is a division of Symbiotic Group Inc.) We serve customers in two ways, we provide:

• Digital Experts: IT Consulting expertise. Bright Minds That Produce Proven Results
• Recruitment: Find The Right People You Need

Serving IT & Business leaders, Symbiotic Digital provides a business system that enable us to provide the Expert Technical staff needed to solve challenging business and IT problems. IT leaders in the most reputable organizations in Canada have relied on Symbiotic Digital to help them staff difficult assignments with proven Experts uniquely evaluated by our proven QMS- Quality Management System Staff Development Model. We are a 100% Indigenous owned company.