Publié il y a 6 jours
Senior Data Analytical Specialist/Scientist JP242
@ Pathlion
Toronto, Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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 et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- 2026-11-04
- Première détection par notre source
- 2026-11-05
- Mise à jour du dossier source
- 2026-11-05
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Pathlion
| Champ | Valeur |
|---|---|
| Offres sur 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.
Journal
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