Data Scientist

Mobileye is a global leader in the development of advanced driver-assistance systems and autonomous driving technologies. We are looking for an experienced data scientist to help tackle complex challenges related to our autonomous vehicle projects. Join us in shaping the future of transportation by developing advanced algorithms and machine learning models to ensure safe and efficient autonomous driving in complex environments.

What will your job look like?

• Analyze large, complex datasets to extract actionable insights and drive strategic decisions.
• Develop and implement advanced machine learning models and algorithms to solve business problems.
• Work closely with cross-functional teams to understand business objectives and ensure data-driven decisions.
• Create and maintain data pipelines and workflows to process big data efficiently.
• Communicate findings and recommendations to stakeholders through reports, dashboards, and presentations.
• Continuously evaluate and improve the accuracy and performance of data models
  
  

• B.Sc in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Minimum of 3-5 years of hands-on experience in data science, with a strong focus on working with large datasets.
• Successfully led and executed multiple end-to-end data science projects, demonstrating the ability to handle large datasets and derive actionable insights.
• Developed and deployed machine learning models that significantly improved business outcomes, such as increasing revenue, reducing costs, or enhancing customer satisfaction.
• Collaborated with business leaders to identify key opportunities for leveraging big data, resulting in the development of data-driven strategies.
• Big Data Technologies: Hands-on experience with Spark or other big data processing frameworks.
• Data Manipulation and Analysis: Strong skills in using Pandas, NumPy, and other data analysis libraries.
• Machine Learning: Proven experience with Scikit-Learn, TensorFlow, Keras, PyTorch, or similar libraries.
• Fluent in English and Hebrew