RQ09753 Data Analytical SpecialistScientist Senior

Responsibilities :

• Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights.
• Work closely with clients groups to assess current data analytics and reporting capabilities gather future-state requirements and identify further opportunities for improvement.
• Facilitate decision-making and manage client expectations.
• Own the execution of analytics initiatives including end-to-end reporting and data set delivery.
• Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences.
• Participate in documentation development testing and end user training.
• Work with functional area experts Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions.
• Design methods to capture structure transform and process data to be used to generate models.
• Build data models that provide information which is accurate easy to understand and unbiased.
• Communicate complex quantitative analysis in a clear and precise manner providing useful visuals and summaries.
• Provide interpretation advice and expertise to client groups and other stakeholders including direction on how to transform analytics into actionable information and proactive insights that support decision making.

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Requirements

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Role Overview :

The Government of Ontario is embarking on a large Data & AI transformation initiative. Core to the transformation is the enablement of the Ontario Data Platform (ODP) which is being developed as the enterprise technology ecosystem for everything Data & AI. ODP is a modern ecosystem of data solution consisting of data ingestion technologies storage processing and visualization as well as solutions related to data governance quality marketplace etc. ODP will initially serve all internal government clusters ministries and program areas but also external agencies in the future. We are looking for a data scientist to support various initiatives related to the platform as well as the execution of use cases to support the needs of various businesses within the government.

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Qualifications :

Required Skills :

Experience and Skill Set Requirements : Must Haves : must have experience Azure data tools - azure databricks MLflow python Skill Set Requirements : Role Overview : The Government of Ontario is embarking on a large Data & AI transformation initiative. Core to the transformation is the enablement of the Ontario Data Platform (ODP) which is being developed as the enterprise technology ecosystem for everything Data & AI. ODP is a modern ecosystem of data solution consisting of data ingestion technologies storage processing and visualization as well as solutions related to data governance quality marketplace etc. ODP will initially serve all internal government clusters ministries and program areas but also external agencies in the future. We are looking for a data scientist to support various initiatives related to the platform as well as the execution of use cases to support the needs of various businesses within the government. Key Responsibilities : Run and Monitor Inferences Execute batch inference jobs on Databricks and other environments. Troubleshoot inference issues log results and escalate model anomalies. Pipeline & Evaluation Support Assist with running DSPy pipelines and loading custom models / configs. Support evaluation runs using internal metrics Track and summarize performance metrics for inference experiments. Data Handling & Experimentation Help prepare and clean legal text datasets for inference and evaluation. Annotate outputs to support error analysis and benchmarking. Maintain reproducible scripts / notebooks for inference runs. Qualifications : Background in Computer Science Data Science or AI / ML (student or recent grad is good). Familiarity with Python and libraries like pandas scikit-learn or PyTorch. Exposure to LLM frameworks (DSPy LangChain Hugging Face or equivalent). Comfortable working with Databricks / MLflow or other cloud ML environments. Detail-oriented with strong organizational skills for tracking experiments.

Key Skills

Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 85 - 85