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Location
Hybrid (Jerusalem, Israel)
Seniority
Junior · 2+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jul 28, 2026. Mobileye scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Mobileye is an Israeli company founded in Jerusalem in 1999 by the computer scientist Amnon Shashua and the entrepreneur Ziv Aviram, built on the then-contrarian idea that a single camera and clever software could handle driver assistance without radar or lidar. Its EyeQ system-on-chip has shipped in more than two hundred million vehicles, making it the dominant supplier of vision-based driver assistance to the global car industry. Acquired by Intel for fifteen billion dollars in 2017 and returned to public markets in 2022, the company now sells escalating tiers from basic assistance through the SuperVision and Chauffeur hands-off systems up to the fully driverless Mobileye Drive platform.

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.
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