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Mobileye

Python Data Solutions Specialist-Temporary Position

Mobileye Jerusalem, Jerusalem District, Israel

Artificial Intelligence · 1,001-5,000 employees

Jul 28
python Mid (2-5 yrs) Full-time Temporary Israel
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About the role

The specialist will support and scale data infrastructure while automating processes within data-labeling operations. They will also implement GenAI-based workflows and conduct operational analysis to meet business goals.

What they look for

Python SQL Data Analysis Automation Spark Presto Athena Trino GenAI Data Engineering ETL Linux Data Pipelines Statistical Tools

Requirements

Candidates must hold a Bachelor's degree in Computer Science, Statistics, or Information Systems and have at least 2 years of experience as a data analyst. Proficiency in Python and SQL is required, along with experience in big data frameworks and production systems.

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.

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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