data-scientist

Mercari Group is a Japan-based corporate group operating in both Japan and the US under a mission of “create value in a global marketplace where anyone can buy & sell.” Mercari Group operates several businesses. The first is Mercari, Japan’s largest marketplace app allowing anyone to enjoy easily buying and selling items from their smartphone. Additionally, the Group offers Merpay, a simple, entirely in-app payment service, and Mercari Shops (Souzoh), an e-commerce platform for small businesses. Most recently, the Group established Merlogi as well, as a new company to bring greater innovation to the logistics industry going forward.

Mercari, Inc.

• Drive ML-Powered Interventions: Design, build, and productionize models that predict user behavior (e.g., conversion, churn, and reactivation) to estimate incentive elasticity and incremental business impact.
• Innovate Personalization Systems: Architect the shift toward dynamic incentive control, intelligent exposure, and highly personalized targeting at scale.
• Own Business Outcomes: Take direct responsibility for marketing and incentive ROI, incremental GMV, and LTV uplift, utilizing model performance as a powerful lever for business success rather than just an end goal.
• End-to-End Experimentation: Actively drive the ML lifecycle from experiment design and KPI definition to post-launch analysis and continuous iteration.
• Cross-Functional Partnership: Collaborate tightly with Growth, Marketing, and Product teams to translate complex growth opportunities into scalable, ML-driven decision frameworks.
• Build Reusable Growth ML Foundations: Develop shared frameworks for uplift modeling, elasticity estimation, and intervention optimization to accelerate the rollout of future growth initiatives.

Growth Data Scientist

Growth Data Scientist employed at Mercari to drive ML initiatives for business impact and user engagement.

PayPay, a fintech company, that achieved more than 50M users within around 3 years since its launch in 2018 has hugely diversified employees who are from 40 different countries. The number of employees by now is more than 1,000 staff members, and yet the company is still incomplete and at a growing stage.

To build "PayPay", we allied with Paytm, the biggest payment service company in India. Based on their customer-first technologies , we created and expanded the smartphone payment service in Japan.

Our biggest competitor is "cash". We are seeking for people who can accept this challenge positively, brush up the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.

About our working style, we had introduced a new personnel system called WFA (Working From Anywhere*). At PayPay, we work fully remotely in Japan. Therefore, the working place or your living place doesn't matter. Even if you are living in a local area, the salary and benefit package will be at an international level while you enjoy working with world class colleagues. You will find such a way of working at PayPay! *This WFA policy is applicable only within Japan.

PayPay Corporation

• Own end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, anti-fraud, etc. from problem framing to production
• Lead architectural decisions for data science systems. Process, analyze, and visualize user and merchant data, providing data-driven insights that influence product strategy for technical and business divisions.
• Collaborate with data engineers, product managers, and stakeholders to build robust production systems

Senior Data Science Engineer / Senior Machine Learning Engineer - Data Insights

Senior Data Science Engineer developing and maintaining machine learning models for fintech company. Collaborating with cross-functional teams to drive product improvements and user insights.

• Develop data strategies for the collection, sampling, labeling, handling, and utilization of massive datasets to improve the performance of machine learning models that power next-generation e-commerce platforms.
• Design and enhance scalable data pipelines and automation for machine learning and performance evaluation.
• Analyze large-scale data to understand its characteristics, propose technical solutions for machine learning and performance evaluation, and present the results both internally and externally.
• Collaborate with researchers, engineers, and business teams to research and implement advanced technologies for next-generation AI services.
• Experience a rare position that will allow you to take on the highly valuable challenge of implementing the results of your research into society.
• Collaborate with researchers from universities, enabling us as a private company to carry out long-term research projects that are not bound by conventional frameworks.
• In particular, you will have the opportunity to dive into state-of-the-art technology in AI field and update your strong skill set in AI, Computer Vision, and AR/VR domain.


Data Scientist

Data Scientist at Mercari developing machine learning models for next-gen e-commerce platforms. Collaborating with engineers and researchers in AI technologies at a Tokyo-based team.

• データ駆動型でパーソナライズされたCRM戦略を構築するための、インパクトの大きい機会を特定し、革新的なソリューションを提唱して、ビジョンを現実のものにするためのクロスファンクショナルな機運を高める。
• 高度な統計モデル、機械学習モデル、堅牢な評価フレームワーク、および包括的なモニタリングを備えた推論パイプライン（バッチ/ストリーム）の設計、開発、デプロイを行う。
• 複雑なビジネスのボトルネックを解消し、プラットフォームのパフォーマンスを最適化するために、エンドツーエンドのデータ探索とモデリングを実行する。
• 複雑な技術的知見を実行可能なインサイトに変換し、ステークホルダーと密接に協力して、開発ライフサイクルのあらゆる段階でモデルを洗練させる。
• リーダーシップ層と連携し、メルカリのデータサイエンスおよびエンジニアリング能力を最大限に引き出す戦略的な提案を行う。
• 分析、モデリング、コードの品質管理におけるベストプラクティスの適用を推進する。

Senior Data Scientist – データサイエンティスト

Senior Data Scientist leading data-driven CRM strategies for user engagement at Mercari. Collaborating across teams to enhance platform performance and optimize user experience.

Woven by Toyota is a company at the forefront of Toyota's transformation, pioneering advancements in the movement of people, goods, information, and energy. With a focus on creating a more connected, intelligent, and empowered world through human-centered innovation, Woven by Toyota challenges the status quo and drives the future of mobility. Its areas of focus include enabling high-quality automotive software through the ARENE OS, developing safer and smarter mobility services with AD/ADAS technologies, constructing a futuristic city as a test course for mobility in WOVEN CITY, and investing in mobility startups via WOVEN CAPITAL.

At Woven Planet, a subsidiary of Toyota, we’re reimagining mobility. Our promise: Deliver the world’s safest, smartest and most human-centric mobility—in all its forms, for today, tomorrow and decades to come. We do it with Trust—building safety into all our technologies. We do it with Toyota—leveraging the competitive advantage of a partnership with the world’s biggest vehicle maker. We do it with Arene—our advanced software platform that, combined with Toyota’s hardware expertise, will create software-defined vehicles on a global scale.

Woven Planet

• Come up with data strategies on how to better leverage our labeled datasets to improve the performance of our auto-labeling pipeline (data sampling)
• Develop and maintain data pipelines to monitor annotation quality metrics, model failure patterns, and dataset characteristics at scale using data warehouses and distributed processing tools
• Collaborate with the ML team to diagnose model bottlenecks through statistical analysis and data slicing, identifying whether issues come from insufficient training samples, distribution shifts, or systematic biases in the annotation process
• Participate in data-related activities within the team, across the company in collaboration with Toyota group, and enhancing team members' capability for data science

Data Scientist, Perception, ADAS Auto-Labeling

Data Scientist focusing on perception technologies and automated driving solutions for Woven by Toyota. Collaborating with cross-functional teams and utilizing large-scale data and machine learning techniques.

Ekohe is a technology company that specializes in the application of AI and machine learning to help businesses transform their operations. They offer a range of services from predictive analytics and automation to full-stack development and UX/UI design, tailored to various sectors including finance, cybersecurity, and education. Ekohe emphasizes a collaborative approach, partnering with clients from multinationals to startups to create innovative solutions that meet their unique needs.

Ekohe bring AI transformation that moves your business forward. From AI-driven predictive insights that power the enterprise to Machine Learning automation that drives market innovators, we make technology works for you. Forged in Shanghai, with branches in Tokyo, Paris, Vancouver, and New York, we have 15 years of experience in transforming initial ideas into successful digital products, no matter the complexity of the project. We specialize in AI transformation, digital strategy, innovative technology, and user-centered design experiences from conceptualization to market launch. With a diverse client list of startups, agencies, and enterprises, we're proud to have grown and scaled products in industries ranging from finance, retail, entertainment, health & fitness, and non-profits. Our strong roots in Europe, North America, and Asia uniquely equip us with insightful expertise regarding localization of products for the Chinese market. Having established the leading team of ruby on rails specialists in China, we continue to push the envelope by solving complex problems with usability and simplicity as our guiding principles. 

Got a project or want to join our team? We'd love to hear from you. Get in touch at info@ekohe.com.

Ekohe

• Extract and analyze insights from large data sets
• Work with machine learning engineers to design, build and evaluate statistical models and machine learning algorithms
• Propose and implement data-driven solutions to business problems
• Present results using data visualization tools and configure BI dashboards
• Work with cross-functional teams to develop and implement data strategies
• Build processes to monitor and improve data quality

Senior Data Scientist

Data Scientist analyzing insights from large data sets for domestic and international clients. Collaborating with machine learning engineers and cross-functional teams in a hybrid work environment.

Hybrid Data Scientists roles in Japan

Browse 6 hybrid data scientists roles hiring in Japan plus related opportunities such as data analyst and product analyst.

6 jobs found

Growth Data Scientist

Mercari, Inc.

Senior Data Science Engineer / Senior Machine Learning Engineer - Data Insights

PayPay Corporation

Data Scientist

Mercari, Inc.

Senior Data Scientist – データサイエンティスト

Mercari, Inc.

Data Scientist, Perception, ADAS Auto-Labeling

Woven Planet

Senior Data Scientist

Ekohe