Data Scientist

Job Title: Data Analytics Specialist / Data Scientist

Location: Canada (Remote)

We are hiring a Data Analytics Specialist / Data Scientist to support enterprise data strategy, analytics, and AI/ML initiatives. This role will focus on transforming complex data into actionable insights, building analytical models and data products, and partnering with business stakeholders to drive data-informed decision-making.

The ideal candidate will bring strong experience in data analytics, statistical modeling, data preparation, dashboarding, and stakeholder communication. This person should be comfortable working across cross-functional teams, supporting strategic discussions, and delivering scalable solutions in a multi-vendor environment.

Responsibilities

• Lead and deliver analytical and data science projects aligned to business goals.
• Design, build, and maintain data models, analytical tools, and reusable data products.
• Collect, clean, organize, and prepare structured and unstructured data for predictive and prescriptive modeling.
• Develop statistical models, machine learning algorithms, and quantitative analyses to generate business insights.
• Collaborate with business and technical stakeholders to gather requirements and translate them into analytical solutions.
• Conduct advanced data analysis and support broader data engineering initiatives.
• Create dashboards, reports, and visualizations to support operational and executive decision-making.
• Define KPIs, metrics, and performance measurement frameworks.
• Provide strategic recommendations and support enterprise data strategy initiatives.
• Promote data quality, governance, metadata management, and a data-driven culture across teams.
• Prepare executive-ready presentations, roadmaps, and analytical frameworks.
• Mentor team members and work effectively in a cross-functional, multi-vendor environment.

Required qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 6+ years of experience in data analytics or data science roles.
• 6+ years of experience using statistical and programming languages such as Python, R, or SQL.
• 6+ years of experience building analytical, statistical, or quantitative models.
• 6+ years of experience preparing data for predictive and prescriptive analytics.
• 6+ years of experience applying data analytics methods, statistical techniques, and data mining practices.
• 2+ years of experience building and deploying end-to-end analytical or AI-enabled applications.

Preferred qualifications

• 5+ years of experience in data sharing, data linkage, and metadata management.
• 5+ years of experience integrating data from multiple systems, sources, or business domains.
• 5+ years of experience explaining complex analytical concepts to business stakeholders and leadership teams.
• 3+ years of experience designing and maintaining data pipelines and workflows.
• 3+ years of experience building dashboards and visualizations using tools such as Power BI or Tableau.
• 3+ years of experience with big data technologies such as Hadoop or Spark, or with cloud platforms.
• Experience working with large public sector or government datasets is an asset.