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.