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: RecDep@symbioticgroup.com

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