We are searching for a strategic and inquisitive senior data scientist to develop and run with data-centered projects. In keeping with this overarching aim, the senior data scientist will be required to process extensive datasets to extract valuable business insights, which can assist in decision-making, perform crucial exploratory data analysis to uncover hidden patterns for informing strategic business decisions, and develop and deploy sophisticated machine learning models. To be successful as a senior data scientist, you should use data to ultimately inform and promote the company's expansion. Top-notch senior data scientists will assume a prominent role in the development of junior staff.ResponsibilitiesFormulating, suggesting, and managing data-driven projects that are geared at furthering the business's interests.Collating and cleaning data from various entities for later use by junior data scientists.Selecting and employing advanced statistical procedures to obtain actionable insights.Cross-validating models to ensure their generalization.Producing and disseminating nontechnical reports that detail the successes and limitations of each project.making data-driven recommendations that can help achieve business goals more efficiently.Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.RequirementsAdvanced degree in quantitative finance, data science, mathematics, statistics, computer science, or similar.Extensive experience as a data scientist.Proficiency in R or Python, where the former is preferred.In-depth understanding of SQL.Competent in machine learning principles and techniques.familiarity with finance industry (work experience in finance is advantage)Demonstrable history of devising and overseeing data-centered projects.Ability to relay insights in layman's terms, such that these can be used to inform business decisions.Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.Compliance with prevailing ethical standards.