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- Data Scientist (for Four-Wheel Business)｜Data Scientist (for Four-Wheel Business)
JOB ID 25741
Data Scientist (for Four-Wheel Business)｜Data Scientist (for Four-Wheel Business)
- Manufacturer, Manufacturer-Automotive
- IT, Data Analyst, Research ＆ Analysis
- Tokyo
- ¥5,900,000～¥10,900,000
As an automobile manufacturer that continues to evolve to provide "joy" to more people 10 years, 20 years, and beyond, we have been and will continue to challenge to create new values that are not bound by existing frameworks, so that we can continue to please our customers around the world.
The company, which has been providing multiple products loved by many customers based on its solid technical capabilities, is recruiting associates to integrate with the ICT society and create new services.
We forecast sales volume and production risk in the four-wheel business using a variety of internal and external data and advanced analytical techniques.
This position supports strategic lineup decisions and mid- to long-term decision-making by addressing the risk of fluctuations due to supply-demand balance and environmental factors.
Job Description
-
- Responsibilities
- ・In collaboration with the strategy and product planning divisions of the four-wheel business, build demand forecast models for sales volume in the medium- to long-term span of 10, 5, and 3 years
・In collaboration with the supply chain management division, forecast risks related to inventory and raw material supply, contributing to stable supply
・Identify the structure of issues through dialogue with the field, and design and improve forecast models based on a vast amount of internal and external data ・Design and improve forecast models using feature engineering and causal structure analysis to achieve both model accuracy and explanatory power Design and improve forecasting models based on a vast amount of internal and external data
・Conduct analyses that balance model accuracy and explainability using feature engineering and causal structure analysis
・Build and verify highly accurate and reproducible forecasting models that match actual businesses
・Extract factors that contribute to strategic decision making by using feature engineering and causal structure analysis Extract elements that contribute to strategic decision making through feature engineering and causal structure analysis
■Development tools
・Language: Python (pandas)
・Online surveys: SurveyMonkey, Qualtrics
・Analytics: Google Analytics, Jupyter
・Project management: Jira
・Information sharing tools: Microsoft Teams
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- Requirements
- -Basic data analysis skills
-Problem solving skills (scope design, goal setting, problem-solving skills)
-Ability to think and act independently without being limited by means
-Communication and collaboration skills to work with people from diverse fields
-
- Preferred
- Experience in (digital) marketing, including customer and market analysis
- Experience in manufacturing, including planning, product development, production, quality, and purchasing
- Experience in problem solving through consulting and other means
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- Location
- Tokyo
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- Work Style
- Flex working possible
-
- Salary
- ¥5,900,000～¥10,900,000
-
- Attractive
Points - Japanese company with global opportunities, Listed company, Childcare support system, Weekends and holidays off, Major corporation, New businesses and services
- Attractive
Consultation
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