Posted 2 days ago
Senior Data Analytical Specialist/Scientist JP242
@ Pathlion
Toronto, Ontario
Overview
Pathlion is hiring a Senior Data Analytical Specialist/Scientist to develop predictive models, machine learning solutions and AI-driven insights for priority business opportunities. The work covers data readiness and maturity assessments, model validation and analytics opportunity identification. Full-time employment is stated; no schedule, location or pay is given.
Responsibilities:
- Design predictive models and machine learning solutions for priority use cases
- Conduct exploratory analysis and assess data readiness for AI
- Validate model performance and communicate limitations
- Partner with stakeholders to identify high-value AI opportunities
- Operationalize models with Data Engineers and Architects
Requirements summary:
- Senior experience in statistics and machine learning
- Experience building and validating predictive models
- Strong communication with technical and executive audiences
- Knowledge of Responsible AI, privacy and data governance
Source and dates
Source type not verified · manatal
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Pathlion
| Field | Value |
|---|---|
| Open jobs on Jobsy | 82 |
The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply statistical, machine learning, and analytical techniques to enterprise data, while supporting data maturity assessments, model validation, business-value analysis, and the identification of high-value AI and analytics opportunities.
Key Responsibilities
- Design and develop advanced analytics, predictive models, and machine learning solutions for priority business use cases.
- Conduct exploratory data analysis to identify patterns, trends, relationships, and opportunities for improved decision-making.
- Translate business problems into appropriate analytical and modelling approaches, defining hypotheses, methodologies, and success measures.
- Assess the quality, availability, and readiness of data required for AI and advanced analytics use cases.
- Support enterprise data maturity and analytics capability assessments and identify opportunities for improvement.
- Validate model performance using appropriate statistical and machine learning techniques and communicate model assumptions, limitations, and results.
- Partner with business stakeholders to identify high-value AI and analytics opportunities and assess potential business value and feasibility.
- Develop prototypes and proofs of concept to test analytical approaches before broader implementation.
- Work closely with Data Engineers, Data Architects, Product Managers, and technology teams to operationalize successful models and analytical solutions.
- Define and monitor analytical KPIs and support evaluation of whether delivered solutions achieve intended business outcomes.
- Communicate complex analytical findings and recommendations in clear, actionable terms for both technical and executive audiences.
- Apply appropriate Responsible AI, privacy, data governance, and model risk considerations throughout the analytics lifecycle.
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