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Senior Data Scientist at MindBridge Analytics Inc.. Data science is at the core of our product, and our team has a diverse range of projects. From writing algorithms that scale to billions of data points, to working with customers to configure our platform for their use case, there are many ways to make a difference as a data scientist at MindBridge. . Data Science in highly regulated markets is a particular area of expertise at MindBridge. We focus on delivering explainable, interpretable models for financial analysis. As signatories of the Montreal declaration for the responsible development of artificial intelligence, we are committed to advancing the use of AI in finance while also making the technology accessible for professionals outside of the technology sphere. . As a Senior Data Scientist at MindBridge, your day-to-day activities may vary. The ideal candidate will work well within a team and with our clients to ensure the projects are delivered to the highest quality and meeting client requirements. . Above all we are looking for someone with a great attitude, high energy, and focused on execution, continuous improvement, and accountability. A data scientist with a growth mindset who is excited by opportunities to learn will be successful in this role. . Key Responsibilities: . Work closely with the development team to deliver data science into MindBridge’s core product. . Deliver high-quality data science for strategic clients and capabilities. . Support junior data scientists by providing feedback and act as a sounding board on projects. . Develop and deliver new data science methods to support our key analytic goals. . Deepen their own skillset by keeping up-to-date on the latest innovations in data science and artificial intelligence. . Provide input and collaborate on the forward Data Science work programme. . Desired Skills & Experience:. . Have a PhD in a quantitative discipline (Engineering, Physics, Mathematics, Statistics/Biostatistics, Machine Learning, Computer Science or similar) or an appropriate combination of education and experience. . . Have 5+ years' experience using statistical analysis and machine learning models to translate data into actionable insights and recommendations. . . Have technical leadership skills and are able to coordinate a data science project throughout its full life cycle. . . Requirements Contingent on Employment:. Fulfill requirements necessary to obtain and clear a full background check. Company Location: Canada.