Senior Data Scientist, Japan Transportation Engineering & Analytics
Senior Data Scientist, Japan Transportation Engineering & Analytics
Posted on :
23-08-2025
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1 Vacancy
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Job Description
Data ScientistData EngineerLeadBusiness/HeuristicSenior Data Scientist
E
Amazon JapanBusiness OperationAWSAmazon ToolEngineer
Revolutionize logistics with your data science and algorithm skills in a rapidly growing organization.
The Amazon Japan Transportation division is seeking a Senior Data Scientist to lead a team of Data Scientists and Data Engineers and spearhead the development of machine learning/heuristic model solutions that meet the businesss needs. This is an exciting opportunity to contribute your talents.
Our company operates Japans largest e-commerce marketplace. Guided by the vision of becoming Earths most customer-centric company we are building a network that delivers the products customers want when they want them as quickly as possible. Seamlessly replenishing inventory and providing a wide selection are core to our service but the logistics and retail landscape is constantly evolving. Maintaining high service quality amidst this change is essential to our competitiveness.
As Amazon Japan continues to grow our expanding supply chain is becoming increasingly complex. There is a strong need to improve the efficiency visibility and quality of our business operations. We are seeking an engineer to lead a team that leverages AWS and Amazons proprietary tools to deliver optimal model and technology solutions for these challenges.
Key job responsibilities
Business Impact
People ManagementTech LeadingProject LeadingTeam LeadingScrumManager
()()Manager
//Manager
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Provide model and technology solutions for complex high-impact business challenges. Design these solutions from an architectural level collaborating with other engineering teams as needed.
Serve as a Tech Lead Project Lead and Team Lead (excluding people management). Based on Scrum processes you will set team priorities effectively liaise with customers and stakeholders. Partner with Managers to establish a roadmap and deliver solutions that meet business needs.
Collaborate with Managers to establish mechanisms that uphold engineering standards (e.g. accuracy efficiency) and operational standards (e.g. quality consistency reliability).
Define metrics with Managers to measure team progress data/solution quality and the state of engineering/operations.
Think strategically and make tradeoffs as your decisions will impact the organizations infrastructure (including resources and costs).
Communicate ideas effectively both verbally and in writing to all types of stakeholders. Produce strategic documentation.
Lead projects with limited guidance.
A day in the life
10:00 Lead
10:30 MLOpsInput Feature Validation
11:00 Hyper Parameter TuningNotebook
12:00
13:30 Scrum Daily MeetingLoss
14:00 Biz side
14:30
15:00
16:00 Hyper Parameter tuneBayesDE
18:00 Project WeeklySlackNotebookFigure
18:30 Approve
19:30
About the team
Data Science3
1: Data Mart
2: 1
3: 1Business InsightData PipelineDashboard
280%Business Impact
1
Our team provides Data Science solutions and our main missions are the following three:
1: Overhaul and maintain a large-scale Data Mart to comprehensively manage and analyze trunk transportation information
2: Provide machine learning optimization algorithm solutions utilizing the data from the above 1
3: Provide Data Pipeline and Dashboard solutions to derive Business Insights using the data from the above 1
In particular there is a growing demand in the area 2 and we are accelerating the development.
- Bachelors degree
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 4 years of data scientist experience
- Practical knowledge of machine learning model and solution development as well as the ability to implement them (e.g. data preprocessing base model selection architecture design hyperparameter tuning MLOps).
- Business Level Japanese or English
- Experience as a leader and mentor on a data science team
- Experience managing data pipelines
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- Experience of Optimization such as genetic algorithm BEAM search gradient method Bayesian
- Experience of Graph algorithm such as DFS BFS Dijkstra Maximum Flow Route Planning Delivery Planning Dynamic Programming
- Business Level English
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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