Position Description:

Support Sign-off of Feature Level performance for a given vehicle via data exploration and analysis of ADAS Features. Develop and refine scripts, reports, and dashboards for ensuring proper feature-level performance across a variety of environmental and cross-carline noise factors. Support design verification plans by analyzing resulting data and delivering reports and/or dashboards showing compliance with internal and external requirements. Support and coordinate root-cause analysis with internal and external suppliers to ensure delivered system thrills our customers with the user experience via data-driven reports, signal-level traces, or other mechanisms. Develop innovative methods for analysis of ADAS Features & Functions using state of the art tools and big-data approaches.

Skills Required:

• Data Analysis Root Cause Analysis Data Visualization
• SQL Python Data Orchestration is preferred.

Experience Required:

• 1 year in a data analysis, analytics, or engineering role
• Experience in ADAS, autonomy, sensor systems, or similar Experience in triage or analysis of ADAS systems Experience with ETL data pipelines Experience with data visualization tools such as superset or looker Experience with data wrangling and analysis using SQL / python is preferred.

Education Required:

• Bachelor of Science in Engineering field, Data Science, or similar

Education Preferred:

• Programming Boot Camp or other professional training in SQL / Python development, Bachelor of Science in Computer Science or a Computer Science.

***POSITION IS HYBRID***