Data scientist, R4D, Mercari

本ポジションは日本語JDの用意がありません。Data scientist R4D, MercariEmployment Status: Full-timeWork Hours: Full Flextime (no core time)Office: RoppongiFor more details, see the Overview of Our Positions section on our Careers site.About MercariCirculate 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 Mercari's Culture DocOrganization/Team MissionMercari Engineering PrinciplesMercari Engineering Principles are a shared understanding that serves as the foundation of engineering beliefs and behavior at Mercari. The Engineering Principles are designed to complement the organizational identity (Mercari's mission, values, and culture) from an engineering viewpoint.These principles ultimately help us achieve Mercari's mission by defining the ideal state we seek to realize in the long term.Passion For The ProductGrow TogetherSolve Through MechanismsCollaborate OpenlyFor More Details, Please See The Following LinkEngineering CultureMercari R4D is a research and development organization established in December 2017 with the goal of social implementation of advanced technologies."R4D" stands for Research and the four D's: Design, Development, Deployment, and Disruption — representing our mission to bridge research, innovation, and real-world impact.We are seeking individuals with a high level of expertise in machine learning or computer vision, who have a strong interest in cutting-edge multimodal foundation models and can work autonomously. We welcome candidates who are motivated to analyze large-scale data obtained from the market, understand its characteristics, and propose technical solutions for machine learning and performance evaluation. As a member of our Tokyo-based team, you will contribute to creating AI technologies that support the next generation of e-commerce platforms.See here for more information about our mission and values.Work ResponsibilitiesDevelop 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.Unique ChallengesExperience 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.QualificationsRequired Experience/SkillsPh.D. in Computer Science or a related field, or equivalent professional experience.At least 2 years of experience in data science or related fields, including theoretical knowledge in machine learning (deep learning, statistical analysis, mathematical modeling, etc.).Experience in software development using Python (numpy, scipy, scikit, pandas) and databases.Experience using machine learning frameworks such as PyTorch or TensorFlow.Familiarity with modern development tools and cloud environments such as Git, AWS, or GCP.Preferred Experience/Skills5+ years of experience in data science or related fields.Experience analyzing large-scale databases (petabyte level).Experience in building large datasets.Experience building and managing infrastructure with Docker, Kubernetes, Jenkins, Terraform, GitHub Actions, or similar tools.Business-level Japanese proficiency, with smooth reading, writing, and listening skills.Language Japanese: Independent (CEFR - B2) preferredEnglish: Independent (CEFR - B2)For details about CEFR, see here.Learn More About Mercari GroupCareers site: https://careers.mercari.com/en/ Mercan: https://mercan.mercari.com/en/ Social media: X / Linkedin Recruiting at MercariAt Mercari Group, we value empathizing with and embodying the mission and values of the Group and each company. To promote the creation of an organization that maximizes the total amount of value exhibited by all members, we would like to understand the experience and skills of each candidate as accurately as possible.Recruiting cycle at Mercari GroupApplication screeningSkill assessment: For engineering positions, you will be asked to complete a skill assessment on HackerRank or GitHub. For non-engineering positions, you may be asked to complete an assessment depending on the position. (The timing of the assessment may coincide with the interview process.)Interview: The number of interviews may vary depending on the position.Reference check: We will ask for online references around the timing of the final interview.Offer: Offers will be determined carefully in consideration of the final interview and the reference check.Learn more about our recruiting process here.Equal Opportunity HiringHere 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 I&D statement.Please read and acknowledge our Privacy Policy prior to submitting your application.