Senior Data Scientist

The client is seeking a Senior Data Scientist to analyze complex datasets, develop predictive and analytical models, and generate actionable insights to support business, program, and regulatory decision-making. The successful candidate will work with structured, semi-structured, unstructured, spatial, and non-spatial data and will contribute to data modernization, data quality, information management, business intelligence, and analytical initiatives.

Key Responsibilities

• Analyze complex datasets to identify patterns, trends, relationships, and actionable insights.
• Develop predictive models and statistical and machine learning solutions to support business strategies and decision-making.
• Conduct exploratory and initial data analysis to understand data characteristics, quality, patterns, and trends.
• Identify business problems that can be addressed through data analysis and develop data-driven solutions.
• Identify and collect relevant structured and unstructured datasets from multiple sources.
• Research, develop, and manage information studies and innovative statistical models.
• Integrate data insights into business and program strategies.
• Support data migration, digitization, modernization, and information management initiatives.
• Apply data mining, statistical analysis, predictive analytics, artificial intelligence, machine learning, and data modelling techniques.
• Analyze and integrate spatial and non-spatial datasets to support planning, compliance, reporting, and decision-making.
• Develop dashboards, reports, visualizations, and other analytical outputs for technical and non-technical stakeholders.
• Collaborate with cross-functional teams, business stakeholders, GIS specialists, business analysts, project teams, and technical resources.

Must-Haves

• Senior-level experience in Data Science, Data Analytics, or a related field
• Strong experience with data analytics, relational databases, and data visualization
• Hands-on experience with geospatial/spatial data analysis and management
• Proficiency with Power BI, Tableau, R Shiny, ArcGIS, or equivalent visualization/analytics platforms
• Strong experience developing and applying predictive models, statistical models, machine learning, and analytical frameworks
• Experience working with both spatial and non-spatial datasets
• Strong SQL skills for data extraction, transformation, and analysis
• Proficiency in Python, R, or equivalent programming languages
• Experience analyzing large and complex datasets and identifying trends, patterns, relationships, and data-quality issues
• Ability to translate business requirements into data-driven analytical solutions
• Strong communication and collaboration skills, with the ability to present complex findings to technical and non-technical stakeholders

Nice-to-Haves

• Advanced degree in Statistics, Data Science, Social Science, or a related discipline
• Professional certifications such as IBM Data Science Professional Certificate or Google Data Engineer Certification
• Experience with data governance, metadata management, master data management, data lineage, ETL, data warehousing, and data integration
• Experience supporting data migration, digitization, data modernization, and legacy-data transformation
• Knowledge of GO-ITS standards, information management standards, and accessibility requirements
• Experience with Git/version control systems
• Experience preparing data dictionaries, source-to-target mapping documents, and data flow diagrams
• Experience working in government, public-sector, or highly regulated environments
• Strong project management experience
• Knowledge of emerging AI, machine learning, data engineering, and analytics technologies