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