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Data driven research scientist

Dublin
beBeeKeyword
Research scientist
Posted: 16 August
Offer description

Advanced Machine Learning Researcher

We are seeking an exceptional Advanced Machine Learning Researcher to join our team. As a key member of the research group, you will apply advanced ML techniques to wide-ranging forecasting challenges.

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Job Description:

* Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
* Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
* Design and run experiments using the latest ML tools and frameworks
* Develop automation tools to streamline research and system development
* Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behaviour
* Partner with engineering teams to implement and test models in production environments

Requirements:

* Post-graduate degree in machine learning or a related discipline with publications at top tier conferences, or professional experience proposing novel machine learning algorithms
* 4+ years experience in building and applying machine learning techniques
* Demonstrated experience working with and drawing conclusions from large datasets
* Proficient programming skills in Python and/or C++
* Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
* Hands-on experience applying deep learning on time series data
* Strong foundation in mathematics, statistics, and algorithm design
* Excellent problem-solving skills with a creative, research-driven mindset
* Demonstrated ability to work collaboratively in team-oriented environments
* A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

Benefits:

* Unique opportunity to work at the intersection of cutting-edge research and real-world impact
* High-quality financial datasets available for analysis and development
* Collaborative team-oriented environment
* Opportunities for growth and professional development

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