JOB ID 27450

Data Scientist

  • Logistics & Transportation, Transportation, Trafic
  • IT, Data Analyst
  • Hokkaido, Ehime, Shizuoka, Fukushima, Toyama, Saga, Yamagata, Tochigi, Gifu, Chiba, Aichi, Fukui, Osaka, Shimane, Ibaraki, Tokyo, Niigata, Gunma, Okayama, Kagoshima, Nagano, Nara, Tokushima, Tottori, Akita, Miyagi, Fukuoka, Yamaguchi, Aomori, Saitama, Kagawa, Iwate, Okinawa, Shiga, Kochi, Kumamoto, Yamanashi, Kanagawa, Oita, Ishikawa, Miyazaki, Mie, Kyoto, Hyogo, Wakayama, Hiroshima, Nagasaki
  • ¥7,000,000~¥12,000,000

This company, established in 2025, is a service provider in the mobility sector, and operates businesses that support the safety management and operational efficiency of the vehicles owned by companies.
Under management, the company operates its business based on capital worth several billion yen and was established with investments from multiple companies.
Our main businesses include driving behavior analysis services aimed at reducing accident risks, as well as planning, developing, and operating driver assistance systems that visualize and manage the driving conditions of work vehicles. Through these services, we aim to contribute to improving safety and operational efficiency for companies using vehicles.

You will develop, improve, and operate AI models that detect dangerous driving behaviors.

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Job Description

  • Responsibilities
    ・Constructing AI models, analyzing issues, improving performance
    , implementing AI models into actual services, reducing model weight, releasing and continuously
    improving the performance of AI models, reducing
    operating costs, and building logic using map data using video / GNSS

    / IMU data ■Development environment
    and language: Python
    ・Libraries: pandas, scikit-learn, LightGBM, PyTorch
    ・Visualizations: Streamlit, Kepler.gl, Plotly, Redash
    ・Infrastructure: AWS / GCP
    ・Databases: Aurora (MySQL) / BigQuery
    ・Source code management: GitHub
    - Generative AI tools: GitHub Copilot, Claude Code, Google Workspace with Gemini
  • Requirements
    Those who
    meet all of the following requirements, experience
    in developing, applying, and operating machine learning models for actual services or work, and experience in team development using source code management systems such as Github
  • Preferred
    ・Experience
    in analyzing image or video data, analyzing
    sensor data or time series data, winning medals
    in analysis competitions such as Kaggle, experience
    in collecting papers in the field of AI/machine learning, and experience

    in developing machine learning systems using clouds such as AWS and GCP ■Desired Personality
    ・Those who
    sympathize with the solution to the social issue of "reducing traffic accidents" and can commit to not only technology but also the service itself, those who
    can promote work while communicating with members with different areas of expertise, and those who enjoy catching up with technology and implementing it in society.
  • Location
    Hokkaido, Ehime, Shizuoka, Fukushima, Toyama, Saga, Yamagata, Tochigi, Gifu, Chiba, Aichi, Fukui, Osaka, Shimane, Ibaraki, Tokyo, Niigata, Gunma, Okayama, Kagoshima, Nagano, Nara, Tokushima, Tottori, Akita, Miyagi, Fukuoka, Yamaguchi, Aomori, Saitama, Kagawa, Iwate, Okinawa, Shiga, Kochi, Kumamoto, Yamanashi, Kanagawa, Oita, Ishikawa, Miyazaki, Mie, Kyoto, Hyogo, Wakayama, Hiroshima, Nagasaki
  • Work Style
    Remote working possible, Flex working possible
  • Salary
    ¥7,000,000~¥12,000,000
  • Attractive
    Points
    No relocation, Average age 30s, Over 50% Mid-Career Hires, Weekends and holidays off, Preparing for IPO, Major corporation, Venture Company, New businesses and services

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