Data Scientist

Key Responsibilities

Design, develop, and maintain large‑scale data pipelines for ADAS and autonomous‑vehicle datasets.
Perform statistical analysis and machine‑learning modeling to improve perception, planning, and safety evaluation.
Create reusable data‑analysis tools and libraries in Python and ROS2 to accelerate R&D cycles.
Develop dashboards and visualizations for real‑time monitoring and reporting of evaluation results.
Collaborate cross‑functionally with software engineers, hardware teams, and safety experts to ensure data integrity and traceability.
Write comprehensive evaluation reports and present insights to stakeholders.
Contribute to the continuous improvement of the open‑source autonomous‑driving ecosystem through research and community contributions.
Support the deployment of data‑driven safety validation processes in compliance with automotive standards.

Bachelor’s or higher degree in Computer Science, Electrical Engineering, Statistics, or a related field.
Strong proficiency in Python programming and experience with data‑analysis libraries (pandas, NumPy, scikit‑learn, etc.).
Solid knowledge of SQL and experience building relational database queries.
Hands‑on experience with ROS2 development and integration in autonomous‑vehicle platforms.
Proven ability to design and implement data pipelines for large‑scale datasets.
Expertise in statistical analysis, machine‑learning techniques, and evaluation reporting.
Excellent problem‑solving skills and the ability to work independently and in multidisciplinary teams.

3+ years of professional experience in data science, preferably in ADAS, autonomous driving, or related automotive domains.
Experience with ADAS data analysis, safety evaluation, and large‑scale data handling.
Background in developing data‑visualization tools and dashboards for complex engineering data.
Exposure to open‑source autonomous‑driving projects such as Autoware.
Track record of cross‑functional collaboration and effective communication with engineering and safety teams.