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Innovative data scientist role

Sydney
beBeeResearcher
Data Scientist
Posted: 16 August
Offer description

Machine Learning Researcher

We are seeking a seasoned researcher to join our dynamic team and contribute to the development of advanced Machine Learning models.

Your primary responsibility will be to design, implement, and deploy innovative ML solutions to enhance trading strategies and decision-making processes.

This is an exceptional opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.

* Conduct research and develop ML models using deep learning techniques and scalable deployment methods
* 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 behavior
* Partner with engineering teams to implement and test models in production environments
Requirements

To succeed in this role, you will need:

1. A strong background in Machine Learning, Computer Science, Mathematics, Physics, Statistics, or a related field
* At least 5 years of experience building impactful deep learning systems
* A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
* Strong 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

We offer a unique opportunity to work with a world-class team of researchers, engineers, and traders. You will gain access to best-in-class financial data and high-performance computing resources, directly impacting real-time trading performance through your work.

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