Overview
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.
Full job description
Description
About The Role
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.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered directly from the employer’s public Lever Postings API. Full public description, role lists and additional information were normalized into safe candidate-facing content. Complete structured details were extracted from the public authoritative source while preserving the original application link.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Mobileye Careers ↗Browse current Job and Scholarship listings from Mobileye Careers →
