Data Scientist

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SeniorZdalnieFull-time

#469697·Dodano wczoraj·0

Źródło: emagine

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Tech Stack / Keywords

Microsoft Azure AIAzure AI SearchMicrosoft FabricPython RAPIDynamics CRMrecommendation enginesdata visualization

Podsumowanie oferty

Develop user-facing interfaces and explainable AI visualizations for matching and recommendation results, integrating them into the Citizen Single File and related portals. Contribute to the matching engine, dashboards, and end-to-end AI applications using Microsoft Azure AI, Azure AI Search, Microsoft Fabric, Python, and R.

Wymagania

Recent experience as a Data Scientist or in a similar role.
Strong experience with Microsoft Azure AI, Azure AI Search, Microsoft Fabric, front-end development and integration, Python, and 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.

Obowiązki

Design user interfaces presenting job positioning recommendations, profile robustness assessments, job and training recommendations, and career pathway suggestions.
Integrate interfaces into the Citizen Single File and related portals for citizens, advisors, employers, and partners.
Develop explainable AI visualizations presenting matching criteria, skills gaps, ranking logic, and recommendation priorities.
Create dashboards and reporting tools covering data quality metrics, test results, usage statistics, and performance indicators.
Collaborate with business users and stakeholders through workshops, demonstrations, testing sessions, and feedback gathering.
Ensure accessibility and multilingual support across interfaces.
Contribute to the matching engine, 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.

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