Senior Data Analytics Specialist / Scientist Contract: August 17, 2026 – December 31, 2026
Potential Extension: 1 extension term
Incorp Rate: $75-$79.78/hr
Position Overview Our client is seeking a Senior Data Analytics Specialist / Scientist to lead the development and delivery of advanced analytics solutions that support evidence-based decision-making.
The successful candidate will work closely with business stakeholders, data architects, ETL developers, and technical teams to understand complex business problems, define analytical requirements, develop data-driven solutions, and translate complex findings into actionable insights.
The role will involve data analytics, statistical modelling, machine learning, data engineering, business intelligence, and emerging AI/LLM technologies .
Must-Have Qualifications 3–5+ years of relevant experience in data analytics, data science, or a related discipline.
Strong hands-on experience with Microsoft Azure data and analytics tools .
Experience with Azure Databricks .
Hands-on experience with MLflow for machine learning lifecycle management.
Strong programming experience with Python .
Experience with Python data science libraries such as pandas, scikit-learn, PyTorch , or equivalent.
Exposure to LLM/Generative AI frameworks , such as:
LangChain
DSPy
Equivalent LLM/AI frameworks
Experience working with large, complex datasets , including structured and unstructured data.
Strong knowledge of machine learning, statistical analysis, data mining, and analytical modelling .
Strong SQL/querying skills and experience developing complex queries.
Experience translating business requirements into data, analytics, and BI solutions .




Strong communication skills with the ability to explain technical and analytical concepts to both technical and non-technical stakeholders.
Key Responsibilities Lead the development and delivery of business and ministry-specific analytics to support evidence-based decision-making.
Assess existing data analytics, reporting, and BI capabilities and identify opportunities for improvement.
Gather and translate business requirements into analytical and technical solutions.
Own analytics initiatives from requirements gathering through development, testing, deployment, and delivery .
Develop statistical models and machine learning algorithms to identify trends, model business scenarios, and generate actionable insights.
Design processes to capture, structure, transform, and prepare data for analytics and machine learning.
Build reliable and accurate data models using structured and unstructured data sources.
Analyze high-volume datasets and identify patterns, trends, anomalies, and opportunities.
Collaborate with Data Architects, ETL Developers, business SMEs, and stakeholders to design effective data and BI solutions.
Support the development and implementation of AI/ML and LLM-based analytical solutions where appropriate.
Participate in solution design, documentation, development, testing, and end-user training.
Develop dashboards, visualizations, reports, and analytical outputs that clearly communicate findings.




Translate complex quantitative analysis into clear recommendations and actionable business insights.
Provide analytical guidance and recommendations to stakeholders and leadership.
Identify opportunities to improve business processes through data, analytics, automation, and AI.
Ensure analytical outputs are accurate, reliable, understandable, and appropriately validated.
Technical & General Skills Strong analytical, problem-solving, investigative, and decision-making skills.
Excellent written and verbal communication skills.
Robust consulting and stakeholder management capabilities.
Ability to facilitate requirements sessions and translate business needs into technical solutions.
Experience working with both technical and non-technical audiences.
Knowledge of:
Statistical analysis and modelling
Machine learning and algorithms
Natural language processing
Generative AI / LLM technologies
Data management
Experience developing ETL/data transformation processes for large relational or multidimensional data stores.
Strong understanding of data quality, validation, and governance.
Experience designing user-friendly analytical interfaces and dashboards.
Proficiency with SQL and complex query development.
Experience with one or more programming/scripting languages, with Python strongly preferred .
Strong understanding of mathematics and statistics.
Ability to work independently while collaborating effectively within cross-functional teams.
Nice-to-Have Skills Experience with analytical and statistical tools such as:
R
MATLAB
SPSS
SAS
Microsoft Excel
Microsoft Access
VBA
Experience with additional cloud, BI, machine learning, or AI technologies is an asset.

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📌 Senior Data Specialist (Ontario)
🏢 BITS Recruiting
📍 Ontario