Woven Planet

Data Scientist (Optimization), Energy Aggregation System

Remote Tokyo, Japan
Python API Machine Learning
Description
About Woven by Toyota
Woven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.

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TEAM
Toyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy. Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all.

We do this by bringing together a diverse community of people with a shared passion for the future of mobility to co-create, develop and refine innovative products and services. This cross-section of social infrastructure, mobility, and people provides a unique opportunity for inventors, residents and visitors to interact seamlessly with new technologies throughout daily life in an environment that emulates a real city.

For more information about Woven City, please visit: https://www.woven-city.global/

WHO ARE WE LOOKING FOR
We are looking for engineers with a passion about developing and operating the city scale CO2 free electric power aggregation system used in daily life in Woven City. With hands-on experiences and deep knowledge about software development, you are expected to define requirements, design and develop the algorithm for the energy aggregation system which will be used and support daily life in Woven City and business feasibility studies. You are also expected to work closely with specialists from various disciplines.

You will report to the development manager as a development team leader, and the work style is hybrid (office and remote).

RESPONSIBILITIES:

  • Create DevOps roadmap and documentation plan for prediction functions, optimization functions or hardware control functions
  • Lead the DevOps process of the prediction functions, optimization functions or hardware control functions of the energy aggregation system
  • Make technical decisions in building multivariate models integrated with mathematical, statistical, physical, machine learning, AI models or control transfer function
  • Define appropriate algorithms and methodologies for maintainable and scalable coding
  • Build methodologies for collaboration with cross-functional teams, various service project owners and third parties

MINIMUM QUALIFICATIONS:

  • Bachelor's degree in data science, computer science, mechanical engineering, electrical engineering, a related technical field, or equivalent practical experience
  • 5+ years of experience in building multivariate models and data pipelines for prediction, optimization or hardware control by Python
  • Capability of algorithm design, Implementation, evaluation, tuning and reporting
  • Experience and skills in writing publications about electrical or thermal energy systems
  • Proficiency in business level English skill and a passion to develop Japanese conversation skill

NICE TO HAVES:

  • Master's degree in data science, computer science, mechanical engineering, electrical engineering, a related technical field, or equivalent practical experience
  • Experience in processes from software requirement definition to operations
  • Experience in the software product development for the energy management system, electric power system, HVAC system or prediction systems (weather, traffic, logistics, stock trading, etc.)
  • Experience and skills in API design
  • Experience and knowledge in the quality control process such as ISO 9000 family
  • Proficiency in business level Japanese
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Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER
・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)

Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
Woven Planet
Woven Planet
Artificial Intelligence (AI) Automotive Autonomous Vehicles Software

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