Recommender System Specialist

Job Title: Recommender System Specialist
Duration: 12 months
Location: Dublin, Ireland (on-site)
Day Rate: High

A leading and innovative technology company who are paving the way across AI are seeking a highly skilled and experienced Recommender System Specialist to join one of their dynamic ML teams. As a Recommender System Specialist, you will play a crucial role in developing and optimizing their recommendation algorithms to improve click-through-rate (CTR), conversion rate, and overall user engagement. You will be responsible for researching, designing, and implementing cutting-edge algorithms that drive personalized recommendations to enhance the user experience on their platform.

Responsibilities:
– Conduct in-depth research and stay up-to-date with the latest advancements in recommender systems, focusing on state-of-the-art algorithmic contributions.
– Develop, implement, and optimize recommendation algorithms that drive improvements in CTR, conversion rate, and user engagement.
– Analyze large-scale datasets to gain insights into user behavior and preferences, and leverage this information to enhance the accuracy and relevance of recommendations.
– Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to integrate recommendation systems into our platform effectively.
– Conduct A/B testing experiments to evaluate and validate the performance of different recommendation strategies, and iterate on algorithms based on the results.
– Monitor key performance indicators (KPIs) related to recommendation systems and provide regular reports and recommendations for improvement.
– Stay informed about industry trends and emerging technologies in recommender systems, and contribute to the development of intellectual property through patents and publications.

Requirements:
– PhD qualification in Data Science, AI or a similar field.
– Strong background in recommender systems, with a focus on algorithm design and optimization.
– Multiple recent RecSys publications featuring in top tier journals and conferences. These publications are to focus on not only the application of a recommender systems but on state-of-the-art algorithmic contribution towards a recommender system. The attention to detail is key.
– Demonstrated expertise in developing state-of-the-art algorithms for recommendation engines, as evidenced by recent publications in top-tier industry conferences and journals.
– Proficiency in machine learning techniques and statistical analysis for large-scale datasets.
– Solid programming skills in languages such as Python, R, or Java, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
– Experience with A/B testing methodologies and analysis to evaluate the effectiveness of recommendation strategies.
– Strong analytical and problem-solving skills, with the ability to translate insights into actionable recommendations.

This is an immediate requirement to join an exclusive team of Data Scientist & ML Engineers in Ireland who are leading on many fronts of AI and in particular Recommender Systems. If you are open to discussing the role in more detail, please share an updated CV.

Note: All applicants must have either a Stamp4 Visa or EU/UK passport to apply to this job.
 

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