Data Scientist

  • Tokyo
  • Partial Remote
  • Full-time
  • August 28, 2024
Conditions
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Apply from Japan Only
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No relocation to Japan
(No visa sponsorship from overseas)
Requirements
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Language Requirements
Japanese: Conversational
English: Business Level

We are seeking a talented data scientist to spearhead our price modeling initiative. This role involves leveraging vast amounts of data and employing multiple strategies, including machine learning, to develop innovative and accurate pricing models. 

If you are passionate about data and excited to drive impactful projects in a dynamic start-up environment, we want to hear from you! 

Join us to make a difference in the world of circularity and sustainability.

 

The Team

Our members come from top domestic and international companies, including McKinsey, Mercari, and Rakuten. You’ll have the opportunity to learn from talented individuals in the realm of business, engineering, and product development. 

As a team, we’re committed to continuous improvement and providing a fulfilling work environment.

 

Your Role

  • Develop and implement advanced price modeling algorithms using e.g., machine learning techniques.
  • Analyze large datasets to extract actionable insights and inform pricing strategies.
  • Collaborate with cross-functional teams to integrate pricing models into our business operations.
  • Continuously improve and refine pricing models based on feedback and performance metrics.
  • Present findings and recommendations to stakeholders, including the executive team.

 

Required Qualifications

  • Proven experience in price modeling and/or machine learning.
  • Strong proficiency in programming languages such as Python, R, or similar.
  • Expertise in data analysis, statistical modeling, and machine learning techniques.
  • Excellent problem-solving skills and the ability to work with complex datasets.
  • Strong communication skills and the ability to present complex information clearly.

 

Preferred Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

 

Interview Process

  • Initial Interview with the CEO: A 30-minute discussion with the CEO.
  • Coding Test: Engineers must complete a simple coding test to verify their capabilities.
  • Final Interview: A comprehensive final interview to assess your overall fit with the company.

 

Liberont is a circularity start-up operating in stealth mode. Their mission is to transform the shopping experience for their users and work towards a more sustainable society.

Liberont’s key achievements include:

  • Selection into a prominent accelerator program
  • Submission of our business model for patent
  • Securing an initial round of capital, with additional funding expected in the autumn
  • Launching an initial beta version currently being tested with approximately 50 users, yielding significant positive results

Joining the Liberont team means that you’ll have direct involvement in the product launch and the opportunity to learn from the industry’s most talented people.

View Liberont's company page

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Data Scientist at Liberont
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