ADAS Data Scientist & Data Engineer - Pipelines & Insights

GlobalLogic; Göteborgs kommun; On-site; SEK 600,000 - 850,000; Full time

Job summary

GlobalLogic is seeking a Data Scientist / Data Engineer to support the ADAS organization, combining data engineering with applied data science on large-scale sensor and vehicle data used to validate and improve ADAS functions.

You will collaborate across engineering teams to translate requirements into data pipelines, apply machine learning methods, and ensure data quality and pipeline reliability end-to-end. Strong Python, Spark, and SQL skills are essential.

Qualifications

• Bachelor’s or Master’s degree in CS, Data Engineering, Electrical Engineering, or related field.
• 3+ years of experience in data engineering or data science roles, ideally in automotive or safety-relevant industries.
• Experience with ADAS-related data (sensor data, perception outputs, vehicle logs) or transferable experience from robotics/autonomous systems.
• Strong Python and data engineering toolchains; hands-on GitHub for version control.
• Experience with Spark, Pandas, and SQL-based data warehouses.
• Familiarity with Airflow is a plus.
• Understanding of CAN/DBC/AUTOSAR data concepts is a strong plus.

Responsibilities

• Design, build, and maintain data pipelines for ingesting, processing, and structuring large volumes of ADAS sensor data (camera, radar, lidar, CAN logs).
• Apply data science methods to analyze vehicle and sensor datasets, supporting feature development, algorithm validation, and performance benchmarking of ADAS functions.
• Collaborate with ADAS function owners, test engineers, and software teams to translate needs into data requirements.
• Develop and maintain reusable Python-based tools and scripts for data extraction, transformation, and analysis, version-controlled via GitHub.
• Support root-cause analysis of ADAS performance issues using data-driven investigations.
• Contribute to data quality frameworks, labeling standards, and metadata management for ADAS datasets.
• Present findings and data insights clearly to both technical and non-technical stakeholders.

Skills

Python

Data engineering

ADAS data

GitHub

Spark

Pandas

SQL

Airflow

CAN/DBCs/AUTOSAR

Education

Bachelor's degree

Master's degree

Tools

GitHub

SQL warehouses

Job description

GlobalLogic is seeking a Data Scientist / Data Engineer to support the ADAS organization, combining data engineering with applied data science on large-scale sensor and vehicle data used to validate and improve ADAS functions.

You will collaborate across engineering teams to translate requirements into data pipelines, apply machine learning methods, and ensure data quality and pipeline reliability end-to-end. Strong Python, Spark, and SQL skills are essential.