Data Analyst (LLM/GenAI) - Mercari

This position requires English language ability. JD is available in English only. 本ポジションは日本語JDの用意がありません。

IntroductionCirculate all forms of value to unleash the potential in all people

"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential.For more information about Mercari Group’s mission, see.

Equal Opportunity Hiring

Here at Mercari, we work to realize a world in which no one’s potential is limited by their background and everyone has the opportunity to freely create value. We also firmly believe that a mindset of Inclusion & Diversity is essential for us to achieve our mission.This, of course, extends to our hiring practices as well. Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background.

For more details, please read our .

Team’s Mission / Work Responsibilities

The AI / LLM Team’s mission is focused on two core pillars, "building" and "enabling" – delivering new AI-driven features and user experiences to maximize the impact of Mercari's business, as well as utilizing AI technologies to enhance productivity across the entire Mercari Group. We do this both through independent initiatives owned by our team, as well as by horizontally collaborating with product and engineering teams across the entire organization

(Learn more about Mercari's mission and values.)

As a Data Scientist on the AI/LLM team at Mercari, you will have the unique opportunity to work on data at scale, including business analysis as well as development and optimization of data pipelines and infrastructure that support our AI and language learning models. You will work closely with ML researchers, engineers, product managers, and other stakeholders to analyze the team’s data and ensure that data flows seamlessly and efficiently through our systems, driving impactful AI-driven solutions for millions of users.

Specific work responsibilities include the following:

• Data Analysis: Analyze the business impact of the team’s solutions and explore new opportunities to deliver value to our users through AI-enabled features.
• Inform Product Roadmaps: Work closely with product teams to ensure alignment with business goals and user needs.
• Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines and ETL processes to support machine learning models and AI applications.
• Support Prototyping: Create a data environment that supports rapid prototyping of AI applications. Work closely with research engineers to build prototypes.
• Integration: Collaborate with cross-functional teams, including ML engineers and researchers, to integrate data solutions into existing products and services.
• Performance Optimization: Continuously monitor and improve the performance of data pipelines, addressing any bottlenecks or inefficiencies.
• Tool Development: Build and maintain internal tools and frameworks to enhance data accessibility and usability for AI and ML applications.
• Data Quality Assurance: Implement quality checks and validation procedures to ensure the accuracy and reliability of data.

Unique and Bold Challenges

• In this position, you will be able to leverage Mercari Group’s vast amounts of information to create products used by a large number of people.
• You will have opportunities to inform and guide the design and development of cutting-edge generative AI/LLM services used by tens of millions of people.

Required Qualifications

• Shared belief in the mission and values of Mercari Group and its various companies
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience with exploratory data analysis and business intelligence.
• Development using distributed processing frameworks such as Dataflow, Spark, Kafka, or Flink, as well as knowledge of data schemas and file formats used in Avro and Protocol Buffers (Parquet, ORC, etc.)
• Two or more years of experience in at least one of the following:
• Backend: API development using a programming language such as Go or Java
• Frontend: Development using such things as web browser markup languages, TypeScript, React.js, Next.js, or Redux
• Passion for the products and technologies.

Preferred Qualifications

• Experience developing generative AI/LLM-related products.
• Experience developing ML systems using large-scale datasets and optimizing data pipelines for performance.
• Participation in the open-source community.

Screening Criteria

• Has leadership ability, flexibility, and time management skills
• Proactively learns new technologies and puts them into practice
• Thinks about what’s best for the product and how they can provide the most value through technology
• Sees diverse changes as opportunities for constant improvement and development
• Is able to consistently come up with ideas for improvement and act upon them
• 　(See for details.)

Language Requirements

• Either of the following is required:
• English: Independent (CEFR - B2)
• Japanese: Independent (CEFR - B2)
  *Check for more information about CEFR.

Working ConditionsEmployment Status

Full-time

• Probationary period: First 3 months after joining the company. (During this period your contract conditions will be the same as that of a permanent employee.)

Office

Roppongi

• Smoking is prohibited within our offices
• Mercari has introduced a work style policy called “.” Each member is free to choose whether they want to work in the office or work fully remote. *Exceptions made for certain kinds of work.

Work Hours

• Full flextime (no “core time” or “flex time”)
  *Does not apply to all positions

Holidays

• Two days off per week (as well as national holidays, New Year's break, etc.)
• Paid leave, congratulatory and bereavement leave, relax days, sick leave

Salary

• Annual salary paid in 12 monthly installments (including fixed overtime allowance)
• Based on skills, experience, and abilities
• Reviewed twice a year

Benefits

• Complete health and social insurance
• Incentive program
• Support systems, including those that benefit the employee’s family members
  .

Support

• Relocation support
• Language learning support
• Translation/interpretation support
  .

MediaCorporate Sites

• [Japanese]

Owned Media