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- Data Scientist
JOB ID 23865
Data Scientist
- Logistics & Transportation, Transportation, Trafic, Software platform
- IT, Data Analyst
- Ehime, Hokkaido, Shizuoka, Fukushima, Toyama, Yamagata, Saga, Tochigi, Gifu, Chiba, Aichi, Fukui, Osaka, Shimane, Ibaraki, Tokyo, Niigata, Okayama, Gunma, Kagoshima, Nagano, Nara, Tokushima, Tottori, Miyagi, Akita, Fukuoka, Yamaguchi, Aomori, Kagawa, Saitama, Iwate, Okinawa, Kochi, Shiga, Kumamoto, Yamanashi, Kanagawa, Oita, Ishikawa, Miyazaki, Wakayama, Hyogo, Kyoto, Mie, Hiroshima, Nagasaki
- ¥6,000,000~¥12,000,000
It is a company that develops mobility-related services and promotes the digitalization of transportation and mobility.
Utilizing its proprietary apps and platforms, the company offers a variety of services, mainly cab dispatch services, and is one of only a dozen unicorn companies in Japan.
The company is also co-creating new mobility services with various companies.
As a data scientist supporting the taxi dispatch application business and the AI driver's license business for commercial vehicles, I am responsible for a wide range of tasks required to apply predictive models to actual services, including requirement definition, specification development, data analysis, data preprocessing, AI service implementation, and accuracy improvement for building machine learning models and algorithms for vehicle demand sharing prediction and hazardous driving behavior detection. You will be involved in a wide range of tasks required to apply predictive models to real-world services.
We are looking for someone who can solve various problems with light footwork.
Job Description
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- Responsibilities
- We will support business decision making by identifying business issues through data analysis and formulating measures such as functional improvement and new function development.
Design, development, and operation of core algorithms: We design and develop algorithms for systems that are fundamental to the business, such as dispatch logic, travel time estimation (ETA), and pricing, and are responsible for their continuous improvement and operation.
Verification and monitoring of the effectiveness of measures: From the experimental design of A/B tests to implementation and evaluation, we scientifically verify the effectiveness of the developed functions and algorithm changes. We also design and analyze KPIs to visualize and evaluate the status of the business.
Programming language: Python
Libraries: pandas, statsmodels, lightgbm
Database: BigQuery
Visualization: plotly, Kepler.gl, Looker, streamlit
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- Requirements
- Experience in team development and operation using Python (3+ years)
- Expertise in statistics and machine learning and experience in applying them to real-world problems
- Skills in data extraction, processing, and analysis using SQL
- Ability to understand business issues and propose solutions through data analysis
■Personality Requirements
- A person who is able to work autonomously, communicate closely with members in various areas both inside and outside the company, and promote work independently - A person who is interested in applying machine learning to improve services and solving problems Able to work proactively while communicating closely with members from various fields inside and outside the company
・Interest in machine learning applications and problem solving in real services
・Able to think, act and promote autonomously to improve services
・Sympathize with the evolution of the mobility field and its contribution to society, and commit not only to technology but also to the services themselves ・Ability to work on the development of new technologies and to contribute to society Those who can commit to the service itself, not just the technology.
Those who can acquire new skills on their own as needed, without sticking to a specific technology.
Those who can communicate with others in a respectful manner in team development.
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- Preferred
- -Analytics, datamart design, and data pipeline construction using BigQuery
-Experience in A/B test design, implementation, and effectiveness analysis
-Knowledge and experience in service development using ML and MLOps
-Project management experience using AI
-Kaggle and other analytics Experience in winning medals in competitions
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- Location
- Ehime, Hokkaido, Shizuoka, Fukushima, Toyama, Yamagata, Saga, Tochigi, Gifu, Chiba, Aichi, Fukui, Osaka, Shimane, Ibaraki, Tokyo, Niigata, Okayama, Gunma, Kagoshima, Nagano, Nara, Tokushima, Tottori, Miyagi, Akita, Fukuoka, Yamaguchi, Aomori, Kagawa, Saitama, Iwate, Okinawa, Kochi, Shiga, Kumamoto, Yamanashi, Kanagawa, Oita, Ishikawa, Miyazaki, Wakayama, Hyogo, Kyoto, Mie, Hiroshima, Nagasaki
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- Work Style
- Remote working possible, Flex working possible
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- Salary
- ¥6,000,000~¥12,000,000
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- 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
- Attractive
Consultation
Our expert team is dedicated to empowering your career change, crafting tailored career plans, and securing the best job opportunities in the automotive and mobility sectors.
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