Python Data Solutions Specialist-Temporary Position
Mobileye · Jerusalem, Jerusalem District, Israel
Motor Vehicle Manufacturing · 1,001-5,000 employees
About the role
The specialist will support and scale data infrastructure by automating data-labeling operations and implementing GenAI-based workflows. They will also conduct operational analysis and resolve data mismatches across various systems.
What they look for
Requirements
Candidates need a bachelor's degree in Computer Science or a related field and over 2 years of experience as a data analyst. Proficiency in Python, SQL, and big data frameworks is required, with GenAI and Linux experience being an advantage.
Full description
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.
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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
- Familiarity with Linux environments - Advantage
- Experience working with GenAI tools or frameworks - Advantage
- Background in data engineering or operational data analysis - Advantage
- Familiarity with data pipelines and ETL processes - Advantage
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