Design and deliver robust, production-ready data science models for complex client problems, translating ambiguous needs into rigorous mathematical approaches while promoting ethical AI and guiding junior data scientists.
Data Scientist, ML Perception & Data Pipelines
📜 Description
- Develop strategies to collect, sample, label, manage, and use data from markets, test vehicles, and simulators to improve perception models.
- Design and improve scalable data pipelines and automation for machine-learning and performance evaluation.
- Analyze large-scale datasets and propose technical solutions for machine learning and performance evaluation.
- Lead data-related work across the team and Toyota group, and strengthen team members’ data science capabilities.
🛠️ Requirements
- 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 using1) 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
- Master's degree or Ph.D. in related field
- 5+ years experience in data science or related areas
- 3+ years tech experience in data science or related areas for business applications, such as production, commercial service or public service development
- Analyze huge (e.g. peta byte) scale database
- Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning
✨ 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)
- ・Japanese Social Insurance - Health Insurance
- Pension
- Unemployment Insurance
- Long-term care insurance
- ・Housing Allowance
- ・Retirement Benefits
Full job description
TEAM
WHO ARE WE LOOKING FOR?
You appreciate a hybrid workspace and can come to our Nihonbashi office three days per week, joining the team responsible for perception data for ADADAS.
RESPONSIBILITIES
MINIMUM QUALIFICATIONS
NICE TO HAVES
Similar jobs
Search more Data Scientist jobsDevelops advanced data science and AI models for drug development, including patient stratification, biomarker identification, and clinical trial optimization, while translating biological data into actionable insights.
As a Data Scientist II in the Fraud & Risk team, you will design and implement advanced deep learning models to enhance fraud detection and risk management.
Develops predictive and analytical models for market, demand, and pricing, turning data into business recommendations while leading strategic analytics projects and advancing data governance and scalable solutions.
Develop predictive models for pricing, recommendations and other business domains, turning ambiguous problems into practical solutions and helping teams make evidence-based commercial decisions.
