Hybrid Machine Learning Data Analyst

Posted 2 weeks ago

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About the role

  • Machine Learning Data Analyst at Mobileye focusing on DNN-based traffic-light semantic detection. Preparing datasets for high-quality performance analysis in cutting-edge autonomous driving technologies.

Responsibilities

  • Analyze trends, patterns, KPIs, and outliers to identify areas for improvement and support technology releases.
  • Create dashboards, visualizations, and reports using standard BI tools, and present insights to non-technical stakeholders.
  • Ensure data accuracy, consistency, and proper documentation across analyzed datasets.
  • Collaborate closely with algorithm teams to align data selection and analysis with project goals.
  • Develop and maintain support scripts to streamline and accelerate analysis workflows.
  • Share knowledge and best practices with team members to promote effective problem-solving.
  • Stay up to date with advancements in cloud services, data scraping techniques, and GenAI to drive innovation.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field.
  • 2+ years of hands-on experience in a similar data-focused role.
  • Proficiency in Python, including strong scripting and analysis capabilities.
  • Good understanding of cloud services and core machine learning concepts.
  • Strong analytical, statistical, and problem-solving skills.
  • Excellent collaboration skills and a proven ability to work effectively in team-oriented environments.

Job title

Machine Learning Data Analyst

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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