Algorithm Data Analyst - Temporary position for 9 months

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Jerusalem, ISR
Remote or Hybrid
Junior
Automotive • Automation
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies.
The Role
Analyze and validate autonomous emergency braking algorithm performance using statistical methods and large datasets. Build and run analysis processes, evaluate algorithm developments and production releases, identify regressions, communicate critical issues, produce reports and KPIs, and develop analytical metrics, methodologies, and tools to improve data-driven workflows.
Summary Generated by Built In

You will be part of AEB's FPA team, which is responsible for analyzing the quality and performance of the autonomous emergency braking system developed by Mobileye. The analysis and validation processes require deep thinking as well as advanced technical and analytic abilities.

Our Data Analysts are responsible for defining, building and running the analysis process, as well as providing deep analysis reports and KPIs based on effective analysis of big data.

What will your job look like:

  • Use existing tools and methods to provide informative analysis on the quality of algorithmic developments and production versions, based on statistical methods and data review.
  • Analyze and make judgment on new developments and approval of production versions.
  • Communicate regressions and critical issues to Algorithmic and Management teams.
  • Produce detailed and high-level reports and support projects' needs.
  • Participate in the algorithmic development decision making process.
  • Develop and maintain analytical metrics, methodologies, and tools to optimize analysis workflows and support data-driven insights.

All you need is:

  • B.Sc. in applicable fields. Industrial Engineering or Natural Sciences - advantage.
  • 2+ years of experience in the high-tech industry, in testing, data analysis, or a related role
  • Strong technical ability and basic understanding of programming concepts.
  • Fluent English.
  • Thoroughness and attention to detail.
  • Independence, ability to learn new material quickly.
  • Knowledge of Linux, Jira, SQL – advantage.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Skills Required

  • Bachelor of Science degree in an applicable field
  • Degree in Industrial Engineering or Natural Sciences
  • At least 2 years of experience in the high-tech industry, testing, data analysis, or a related role
  • Strong technical ability and basic understanding of programming concepts
  • Fluent English
  • Thoroughness and attention to detail
  • Independence and ability to learn new material quickly
  • Knowledge of Linux, Jira, and SQL
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The Company
HQ: Jerusalem
3,700 Employees

What We Do

Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.

Why Work With Us

Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.

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