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:

• Work in a company where the main product is an award-winning platform that processes billions of dollars every day.
• Be on a team that’s responsible for company-wide top-priority projects.
• Improve yourself and your team through education and continuous learning.

How do we work?

The Data Scientist will be responsible for supporting various teams with insights gained from analyzing company data. Able to use large data sets to find opportunities for product and process optimization and use models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, and be confident to build and implement models, using/creating algorithms and creating/running simulations with some guided support.

In this role, you will:

• Build, deploy, and maintain statistical and machine learning models and data pipelines.
• Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights.
• Leverage extensive theoretical and practical knowledge of advanced analytic methods and machine learning algorithms.
• Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.
• Collate and analyze data using pre-set tools, methods and formats
• Prepare various data and analytics reports.
• Support interpretation of advanced and predictive analytics data, using specialized software tools and functionalities.

What skillset you need, to be successful in this role:

• Minimum 3 years of commercial experience as a Data Scientist or a relevant role
• Advanced skills in using Python and SQL
• Deep understanding and wide experience of statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience with GCP/AWS/Azure, Docker and Kubernetes is a plus
• Knowledge of enterprise business intelligence platforms such as Tableau, Domo
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

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.

Learn more about our culture here.