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Principal Data Scientist – Recommender Systems

Recruitment Consultant
Simon Troupe
Posted
1 day ago

Principal Data Scientist – Recommender Systems

About the Role:

As a Principal Researcher, you’ll lead the advancement of recommender systems by driving innovative research, developing cutting-edge algorithms, and leading initiatives that enhance user experiences for millions globally.

Key Responsibilities:

  • Algorithm Development: Lead the design and implementation of advanced recommender algorithms to solve complex, real-world challenges.

  • Research Leadership: Conduct research to explore novel methodologies, pushing the boundaries of recommender systems.

  • Data Management: Handle large-scale datasets, developing innovative solutions for data acquisition, preparation, and use.

  • Strategic Direction: Define research strategies, lead projects, and mentor junior researchers for high-impact execution.

  • Research Dissemination: Publish in top conferences and journals; contribute to Huawei’s intellectual property portfolio through patents.

  • Collaboration: Build and maintain relationships with research partners, universities, and stakeholders to uphold Huawei’s ICT leadership.

  • Impact Delivery: Demonstrate research outcomes through practical prototypes and system implementations.

Requirements:

  • Extensive experience in recommender systems and machine learning research with a record of innovation.

  • Advanced programming skills in Python, R, C, or C++.

  • Passion for shaping the future of AI and machine learning technologies.

  • PhD in Computer Science, Mathematics, Statistics, or related fields with significant research leadership experience.

  • Strong publication record in top-tier venues and contributions to intellectual property.

  • Proven ability to lead projects from concept to implementation, managing complexity and stakeholder expectations.

Industry
Contract Type
Permanent
Location
Ireland
Work Model
On-Site

Apply Now

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