Python Developer (Temporary Position)
Jerusalem, Israel
R&D – Algorithms /
Full time /
On-site
Mobileye is seeking a Python Developer to join our Statistics Team for a temporary role covering maternity leave for 1 year!
Mobileye has a large and evolving database that commonly requires unique and unconventional statistical and machine-learning modeling.
The large variety of complex sample spaces and unique technologies create a large variety of challenges. These challenges often require sophisticated, creative, and unconventional solutions, most of which have no set solutions in the professional literature.
This is your opportunity to be part of a unique team, where you will develop statistical methodologies, create tailored statistical tests, and provide consulting services to various teams at Mobileye
What your job will look like:
- Design, develop, and maintain the statistics tools.
- Implement automation solutions to streamline data processing and analysis workflows.
- Evaluate and conduct research related to technologies to be used for data modeling, data structure, and data lake solutions.
- Work closely with cross-functional teams (Validation & Algorithmic teams, and other relevant departments) to create comprehensive product short-term and long-term delivery plans, aligning them with the overall product roadmap and the projects’ timelines.
- Work with R&D to track and report product development execution vs. plan, and drive a continuous learning process.
- Monitor and optimize the performance of developed tools and models, ensuring they meet business requirements and user needs.
All you need is:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, or a related field.
- 2+ years of experience in software/tool development roles.
- Proficiency in Python, with experience in data visualization and analysis tools.
- Experience with CI/CD practices.
- Proficiency in Java and SQL- advantage.
- Experience with Docker and Linux- advantage.
- Ability to work independently as well as collaboratively in a team.
