Summary
We are looking for a hands-on Data Scientist with strong front-end and AI application development skills who can bridge the gap between advanced AI models and user-facing applications, ensuring that matching and recommendation results are intuitive, transparent, and actionable for end users.
Responsibilities:
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Design and develop user interfaces for presenting matching engine results, including:
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Job positioning recommendations
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Profile robustness assessments
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Job and training recommendations
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Career pathway suggestions
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Integrate these interfaces into the Citizen Single File and related user portals for citizens, advisors, employers, and partners.
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Develop explainable AI visualizations by presenting:
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Matching criteria
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Skills gaps
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Ranking logic and recommendation priorities
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Create dashboards and reporting tools covering:
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Data quality metrics
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Test results
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Usage statistics
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Performance indicators
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Collaborate closely with business users and stakeholders through workshops, demonstrations, testing sessions, and feedback gathering.
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Ensure accessibility and multilingual support across all interfaces.
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Contribute to the development of the matching engine itself, including:
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Matching and reranking logic
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API contracts
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Containerized applications
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Solution validation and testing
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Support maintenance, documentation, and knowledge transfer activities through the end of 2027.
Key Requirements:
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Recent experience as a Data Scientist or similar role.
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Strong experience with:
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Microsoft Azure AI
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Azure AI Search
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Microsoft Fabric
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Front-End Development & Integration
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Python
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R
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Experience building end-to-end AI applications.
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Ability to design user-friendly interfaces for AI-driven products.
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Experience with data visualization, reporting, and dashboard development.
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Understanding of recommendation engines, search technologies, and AI explainability concepts.
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Experience working with APIs and containerized solutions.
Nice to Have:
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Experience with Dynamics CRM integrations.
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Experience working on recommendation, matching, HRTech, employment, or training-related platforms.
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Knowledge of accessibility and multilingual application design.
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