招聘
Required Skills
Machine Learning
Job Description Summary:
Lead the end-to-end merchandising strategy for Japan Vending, evolving AI-driven assortment optimization, strengthening category strategy, and improving demand forecast accuracy to drive NSR, variety, and operational efficiency.
Key Responsibilities
1.
Assortment Optimization & AI Algorithm Evolution:
-
Further evolve the AI assortment algorithm to optimize the balance between variety rate,consumer relevance, and complexity cost.
-
Integrate demand drivers (location type, seasonality, machine performance, consumer preference patterns) to enhance model accuracy.
-
Strengthen demand forecasting capabilities by incorporating advanced analytics, real-time performance data, and machine learning.
2.
Category Strategy & Portfolio Development:
-
Design and execute end-to-end category strategy across CCTM, coffee, tea, and water categories.
-
Start from consumer insights (“consumer-back”) to define target portfolio, coverage, assortment depth, and role of each category.
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Develop long-term category growth plans and innovation roadmap aligned with Vending strategy.
3. Merchandising Excellence
-
Define merchandising principles and guidelines to achieve optimal product availability, consumer choice, and operational feasibility.
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Partner with Commercial, Operations, RGM, Equipment/Technology, Supply Chain, and bottlers to ensure seamless execution.
4.
Performance Management & Insight Generation:
-
Build dashboards and tracking mechanisms to monitor SKU performance, category trends, and assortment efficiency.
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Identify underperforming SKUs and recommend rationalization, simplification, or portfolio refresh actions.
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Lead weekly and monthly routines to drive performance transparency and decision making.
5.
Stakeholder Leadership & Cross-Functional Collaboration:
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Provide thought leadership on category and merchandising strategy to OU and global stakeholders.
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Collaborate with Data Science to refine algorithms and demand forecasting.
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Manage bottler relationships to ensure aligned execution and continuous improvement.
Qualifications
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10–15+ years in merchandising, category management, revenue management, or related analytics-driven roles.
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Experience in FMCG, retail, vending, or e-commerce preferred.
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Strong analytical capability with experience in advanced analytics, AI/ML-powered tools, or demand forecasting.
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Proven leadership in cross-functional environments and influencing without authority.
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Business-level English and native-level Japanese preferred.
Skills:
Location(s):
Japan
City/Cities:
Tokyo
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
March 27, 2026
Shift:
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
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About Coca-Cola

Coca-Cola
PublicThe Coca-Cola Company is an American multinational corporation founded in 1892 headquartered in Atlanta, Georgia. It manufactures, sells and markets soft drinks including Coca-Cola, other non-alcoholic beverage concentrates and syrups, and alcoholic beverages.
10,001+
Employees
Japan - Tokyo
Headquarters
$268B
Valuation
Reviews
3.4
25 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.4
Career
3.6
Management
2.8
65%
Recommend to a Friend
Pros
Good pay and benefits
Family-oriented work environment
Growth and learning opportunities
Cons
Management issues and poor decision making
Favoritism and unfair treatment
Job insecurity and layoffs
Salary Ranges
2 data points
Entry
Entry · Merchandiser
1 reports
-
total / year
Base
$12
Stock
-
Bonus
-
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical Interview
5
Panel Interview
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
System Design
Culture Fit
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