Jerusalem
Full time
About us:
Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids.
Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world.
About the team:
We are seeking a highly motivated and skilled Python Data Solutions Specialist to join our team. This role will play a key part in supporting and scaling our data infrastructure, automating processes in data-labeling operation, and driving innovation through AI and analytics tools. This is a temporary position for 8 month.
What will your job look like:
- Working closely with operation teams, product managers, infrastructure teams.
- Use statistical tools to achieve KPIs and business goals of operation projects.
- Develop automation solutions for various operational processes.
- Support and implement GenAI-based workflows and tools.
- Troubleshoot and resolve data mismatches across systems.
- Conduct operational analysis for data-labeling, data products and pipelines.
- Integrate new tools and features into our database ecosystem.
All you need is:
- BSc. in Computer Science / statistics / information systems or related fields.
- 2+ years of experience as data analyst or similar job.
- Strong proficiency in Python for scripting and automation.
- Solid experience with SQL for data querying and manipulation.
- Experience with code writing and debugging in production systems.
- Experience with big data frameworks & solutions (Spark/Presto/Athena/Trino or similar).
- Fluent English.
Nice to have:
- Familiarity with Linux environments.
- Experience working with GenAI tools or frameworks.
- Background in data engineering or operational data analysis.
- Familiarity with data pipelines and ETL processes.
