Data Analytical Specialist/Scientist - Senior

Job Title: Data Analytical Specialist/Scientist - Senior

Location: Toronto, Ontario

Work Model: Onsite

Duration: 4 months

Extension: 1 Time

Must Haves

• must have experience Azure data tools - azure, databricks, MLflow, python
• Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).
• Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.

Description / Responsibilities / Skills

Responsibilities

• Lead development and delivery of functional and ministry-specific analytics to support evidence-based decision-making.
• Work closely with client's groups to assess current data analytics and reporting capabilities, gather future-state requirements.
• Facilitate decision-making and manage client expectations.
• Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences.
• 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.

Role Overview

• Government of Ontario embarking on a large Data & AI transformation initiative.
• Core to transformation is enablement of the Ontario Data Platform (ODP) as enterprise technology ecosystem.
• ODP consists of data ingestion technologies, storage, processing, visualization, governance, quality, marketplace solutions.
• Looking for a data scientist to support initiatives related to platform and execution of use cases.

Key Responsibilities

• Execute batch inference jobs on Databricks and other environments; troubleshoot inference issues, log results, escalate model anomalies.
• Assist with running DSPy pipelines and loading custom models/configs.
• Support evaluation runs using internal metrics; track and summarize performance metrics for inference experiments.
• 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.

General Skills

• Outstanding consulting and relationship management skills, with proven ability to elicit requirements and provide effective guidance.
• Experience designing high quality interfaces to present information in a meaningful way to end users.
• Broad understanding of data management, financial and business analysis, database architecture, and information visualization.
• Proficiency in query languages and experience constructing complex query statements.
• Awareness of emerging Business Intelligence trends and directions.
• Detail-oriented with strong organizational skills for tracking experiments.

Deliverables

• End-to-end reporting and data set delivery.
• Build data models that provide information which is accurate, easy to understand and unbiased.
• Design methods to capture, structure, transform, and process data to generate models.

Experience & Skill Set Requirements

Technical Skills - 50%

• LLM frameworks - 25%
• Databricks/MLflow - 25%