Data Scientist

To be successful in this role, we require evidence of project implementation and work experience gained in a data analysis-related field as part of a multi-disciplinary team. You should hold an undergraduate or master’s degree in a quantitative discipline, or provide evidence of equivalent practical experience. Experience with statistical software, database languages, big data technologies, cloud environments, and machine learning on large data sets is essential. We are looking for someone who demonstrates leadership, self-direction, and a willingness to both teach others and learn new techniques. Experience within a cloud data science environment, such as AWS Sagemaker, would be beneficial. Additional requirements include: - Proficiency with Python and commonly used data science libraries such as pandas, scikit-learn, and langchain. - Significant experience with SQL. - In-depth knowledge of NLP algorithms such as topic detection, sentiment analysis, and generative models. - Experience in deploying machine learning models into a production environment. - The ability to articulate and translate business questions, using statistical techniques to arrive at answers with available data. - Effective verbal and written communication skills, with the ability to adapt your communication style to suit different audiences. - Extensive work experience, including expertise in statistical data analysis techniques like linear models, multivariate analysis, stochastic models, and sampling methods.