Everyone at OANDA is focused on our vision to transform how our customers can meet all their currency needs. We are revolutionising the world of currency trading by providing innovative trading experiences, currency data and analytics solutions. Dare to be open, bold, focused - own it and apply! The future is now!
Join us and:
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Work in a company where the main product is an award-winning platform that processes billions of dollars every day.
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Be on a team that’s responsible for company-wide top-priority projects.
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Improve yourself and your team through education and continuous learning.
How do we work?
The Data Science team is responsible for end to end project maintaining. This is a unique opportunity to work closely with the business and taking all gathered data through the whole process to production!
We work in a flexible hybrid model (4 days a month) - We'd love to meet you in the office (Cracow, Zabłocie) once a week with respect to your own commitments.
In this role, you will:
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Building, deploying, and maintaining statistical and machine learning models and data pipelines.
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Working with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights.
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Leveraging extensive theoretical and practical knowledge of advanced analytic methods and machine learning algorithms.
What skillset you need, to be successful in this role:
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Minimum 2 years of commercial experience with classical ML algorithms
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Deep understanding and wide experience of mathematical and classical ML algorithms (like K-means, Random forest, XGBoost, MLP)
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Advanced skills in using Python and SQL
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Experience with GCP/AWS/Azure, Docker and Kubernetes
If you have a hands on experience with Classical Machine Learning algorithms this opportunity is for you!
OANDA Global Corporation is a diverse and global team with offices around the world. We value the unique skills and experiences each individual brings to OANDA. We are committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide an inclusive and accessible environment for everyone. Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide as seamless a recruitment experience as possible.
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