ResponsibilitiesAnalyzing large datasets to extract actionable insights that could influence thecompany's business strategies.Developing predictive models to forecast rental demands, customer preferences,and pricing trends.Use machine learning models to build vehicle recommendation systemsCollaborating with cross-functional teams to understand data needs and delivercomprehensive analytical solutions.Implementing machine learning algorithms to optimize the user experience, suchas personalized recommendations and dynamic pricing models.Monitoring and evaluating the performance of data-driven systems in real-time toensure they are delivering optimal results.Continuously exploring new data sources and analytics techniques to keep thecompany at the forefront of the industry.RequirementsProficiency in Python/R, SQL, and statistical software.Experience with machine learning, deep learning, and algorithm development.Knowledge of data visualization tools.Strong problem-solving and analytical skills.Excellent communication and presentation abilities.Proven experience as a Data Scientist, preferably in the tech or automotivesector.Experience handling large data sets and conducting complex quantitativeanalyses.A degree in Data Science, Mathematics, Economics, Computer Science, or a relatedfield. Masters or Ph.D. preferred.