Responsibilities
● Analyzing large datasets to extract actionable insights that could influence the
company's business strategies.
● Developing predictive models to forecast rental demands, customer preferences,
and pricing trends.
● Use machine learning models to build vehicle recommendation systems
● Collaborating with cross-functional teams to understand data needs and deliver
comprehensive analytical solutions.
● Implementing machine learning algorithms to optimize the user experience, such
as personalized recommendations and dynamic pricing models.
● Monitoring and evaluating the performance of data-driven systems in real-time to
ensure they are delivering optimal results.
● Continuously exploring new data sources and analytics techniques to keep the
company at the forefront of the industry.
Requirements
● Proficiency 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 automotive
sector.
● Experience handling large data sets and conducting complex quantitative
analyses.
● A degree in Data Science, Mathematics, Economics, Computer Science, or a related
field. Masters or Ph.D. preferred.