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
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