Junior Research and Development (R&D) Data Scientist

Job Title: Junior R&D AI Scientist. About Us: We are a team of physicians, healthcare executives, data scientists, and tech experts committed to empowering anyone, anywhere with the insights they need to make well-informed healthcare decisions. Through the power of AI and big data, we have created the first all-in-one solution providing users with everything they need to know about medical professionals and facilities. RYTE transforms the comprehensive data we collect on millions of healthcare providers and medical experts worldwide into knowledge that helps individuals and organizations navigate healthcare systems. Headquartered in Toronto, Canada, with operations in Canada, USA, France, Kazakhstan, and the Philippines, you'll join an international, multicultural, and dynamic workforce committed to creating something unique that affects life and healthcare on a global scale. For more information, please visit . We're looking for a Junior Research and Development Scientist to join our team, someone who's eager continuously learn and apply their knowledge on the complexities of different types of data, and have a significant impact on the Healthcare Analytics sector. This is a permanent contract position in France. The Position: Junior Research and Development AI Scientist. The Role: As a part of the R&D department, you'll work alongside a team of AI engineers, architects, health domain experts, and data scientists in various countries, conducting research and development on numerous AI-based technologies for Healthcare Analytics. Responsibilities: - Apply R&D methodologies in Machine Learning, ontologies, and knowledge graphs for AI in the Health care industry. - Develop algorithms to extract information from large, complex, multiparametric global data sets. - Support the development of automated processes for predictive model validation, deployment, and implementation. - Collaborate closely with Ryte’s AI R&D team to ensure that insights from AI/ML models get translated into impactful actions effectively. - Work with Department Managers and Engineers to deep dive into Ryte’s collection of structured and non-structured data. - Boost productivity, process efficiency, and quality through streamlined workflows, process standardization, documentation, and periodic investigations, including: - Experimentation tracking - Pipelining - Continuous Integration/Continuous Deployment - Monitoring - Reporting - Support the development and implementation of analytical solutions using various commercial and open-source tools such as Python, TensorFlow; and specialized graph databases like Neo4j, Virtuoso, Protégé, etc. - Actively collaborate in the design, development, and testing of REST web API interfaces. Requirements: Preferences and Qualifications: - A diploma or MSc degree in Computer Engineering, Computer Science, Engineering, or a related (STEM) quantitative discipline. - Minimum one R&D experience. - Good understanding of Python. C or C++ are a plus. - Knowledge of SQL and NoSQL. - Familiarity with Azure and Azure Databricks is a plus. - Significant experience with at least one main Deep Learning framework such as TensorFlow, Keras, Azure ML Studio, or PyTorch is required. - Experience working with tools such as MLflow or Azure ML will be a plus. - Good written and verbal communication skills in English are vital. Benefits: Included Benefits: - Medical, Dental & Vision Insurance is provided. - Fixed salary + Bonus plan. - Hybrid work is okay within the limit of spending at least three days per week at Ryte’s offices in Paris. - Additional travels to Kazakhstan (Astana), Philippines (Manila), Canada (Toronto), and the USA are expected. We would like to thank all applicants for their interest. Only those selected for an interview will be contacted. Ryte Corp. is an equal opportunity employer. If selected for an interview, please notify our Human Resources team if you require accommodation during the interview and assessment process. We are committed to accommodating all accessibility needs.