Data Scientist, Perception

RESPONSIBILITIES

• Come up with data strategies on how to collect, sample, label, handle, and use tons of data from the market, test vehicles, and simulators to improve machine learning model performance of the perception stack for camera images that is deployed to millions of vehicles.
• Design and improve the scalable data pipelines and automation for machine learning and performance evaluation
• Analyze large-scale data and identify its characteristics to propose technical solutions for machine learning and performance evaluation
• Lead data-related activities within the team, across the company in collaboration with Toyota group, and enhancing team members' capability for data science.

MINIMUM QUALIFICATIONS

• Bachelor's degree in science or engineering
• 1+ years experience in data science or related areas
• Experience with theoretical aspects of data science like machine learning (deep learning, statistical analysis, and mathematical modeling)
• Experience writing software in Python for data science (numpy, scipy, scikit, pandas), using SQL (or another type) database, and AWS services
• Business-level proficiency in English

NICE TO HAVES

• Master's degree or Ph.D. in related field
• 5+ years experience in data science or related areas
• 2+ years tech lead or management experience in data science or related areas for business applications, such as production, commercial service or public service development
• Hands-on experience in the following:
• Analyze huge (e.g. peta byte) scale database
• Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning
• Design data annotation rules for machine learning
• Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions
• Work in the automotive industry (especially, AD/ADAS field
• Business-level proficiency in Japanese (especially, smooth reading and listening)