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Python Data Solutions Specialist-Temporary Position

Mobileye

Where
Jerusalem, Israel, hybrid
Language, from the listing
No Hebrew mentioned. Asks for fluent EnglishA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
Dates
Posted 28 Jul 2026
Last checked on the employer's site
1 h ago (12 Oct 2026)
Source
Employer job board (Lever)

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.

The full listing

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.