Data Scientist

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 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.
  

Communication & Collaboration Skills

• 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.
  
• Project management experience.
  
• Awareness of emerging information technology and data management trends.
  

Work Arrangement

• Hybrid work model.
  
• 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:

1. Digital Experts: IT Consulting expertise. Bright Minds That Produce Proven Results
   
2. 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.

Learn more online at https://www.symbioticgroup.com/home-sd/.

Please submit your most recent resume to: [email protected]

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