ADAS Data Scientist & Data Engineer - Sensor Analytics

GlobalLogic; Gothenburg (NE); On-site; USD 84,000 - 115,000; Full time

Job summary

GlobalLogic in Gothenburg, Sweden, is seeking a Data Scientist / Data Engineer to support the ADAS organization. This role sits at the intersection of data engineering and applied data science, working with large-scale sensor and vehicle data used to develop, validate, and improve ADAS functions (e.g., collision avoidance, lane keeping, adaptive cruise control, sensor fusion).

You will collaborate with ADAS function owners, test engineers, and software teams to translate development needs into

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Electrical Engineering, or a related field.
• 3+ years of experience in data engineering or data science roles, ideally within automotive or another safety-relevant industry.
• Demonstrated experience working with ADAS-related data (sensor data, perception outputs, vehicle logs) or strong interest and transferable experience from adjacent domains (robotics, autonomous systems).
• Strong proficiency in Python and standard data engineering toolchains; hands-on experience with Git/GitHub for version control and collaborative development.
• Experience with large-scale data processing frameworks (e.g., Spark, Pandas, SQL-based data warehouses).
• Familiarity with data pipeline orchestration tools (e.g., Airflow) is a plus.
• Understanding of automotive data standards (CAN, DBC files, AUTOSAR data concepts) is a strong plus.

Responsibilities

• Design, build, and maintain data pipelines for ingesting, processing, and structuring large volumes of ADAS sensor and test data (camera, radar, lidar, CAN bus 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 development and validation 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 investigation.
• Contribute to data quality frameworks, labeling standards, and metadata management specific to ADAS datasets.
• Present findings and data insights clearly to both technical and non-technical stakeholders.

Skills

ADAS

Automotive

Data Engineer

Data Science

Python

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Electrical Engineering, or a related field

Tools

Git

Spark

Pandas

SQL

Airflow

Job description

GlobalLogic in Gothenburg, Sweden, is seeking a Data Scientist / Data Engineer to support the ADAS organization. This role sits at the intersection of data engineering and applied data science, working with large-scale sensor and vehicle data used to develop, validate, and improve ADAS functions (e.g., collision avoidance, lane keeping, adaptive cruise control, sensor fusion).

You will collaborate with ADAS function owners, test engineers, and software teams to translate development needs into