Woven by Toyota

Data Scientist, Perception

Woven by Toyota

full-time

Posted on:

Location Type: Hybrid

Location: Tokyo • 🇯🇵 Japan

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Job Level

JuniorMid-Level

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformJenkinsKubernetesNumpyPandasPython

About the role

  • 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.

Requirements

  • 2+ years experience in following industries or research areas:
  • ・AD/ADAS
  • ・Robotics
  • ・Computer Vision
  • 2+ years experience in data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, and mathematical modeling)
  • Experience writing software using:
  • 1) Python for data science (numpy, scipy, scikit, pandas),
  • 2) database, and
  • 3) cloud platform services (AWS, GCP, Azure)
  • Bachelor's degree in science or engineering
  • 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
  • Business-level proficiency in Japanese (especially smooth reading and listening)
Benefits
  • Competitive Salary - Based on experience
  • Work Hours - Flexible working time
  • Paid Holiday - 20 days per year (prorated)
  • Sick Leave - 6 days per year (prorated)
  • Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
  • Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
  • Housing Allowance
  • Retirement Benefits
  • Rental Cars Support
  • In-house Training Program (software study/language study)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data strategiesdata pipelinesmachine learningdeep learningstatistical analysismathematical modelingdata analysisdata annotationcamera image processingcomputer vision
Soft skills
leadershipcollaborationteam enhancementcommunication
Certifications
Bachelor's degree in science or engineeringMaster's degreePh.D.