Growth Data Analyst/Scientist, US App 本ポジションは日本語JDの用意がありません。 Growth Data Analyst/Scientist, US AppEmployment 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 Doc Organization/Team MissionMercari Engineering Principles Mercari 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 link:Engineering CultureThis position is for Mercari USOperating with a high degree of autonomy, this role partners tightly with Growth, Marketing, and Product teams to translate abstract growth opportunities into actionable insights. The Growth Data Analyst/Scientist prioritizes business impact, thriving in fast experiment-iterate cycles and taking direct accountability for measurable business results.See here for more information about our mission and values. Work ResponsibilitiesStrategic Advisory & Insight Discovery: Proactively identify trends and anomalies in complex datasets. Translate these findings into high-impact recommendations for senior stakeholders, moving beyond reporting to actively shaping the growth. End-to-End Project Ownership: Independently manage the full analytics lifecycle—from defining the business problem and gathering requirements to data cleaning, modeling, and final delivery.Advanced Data Modeling & Architecture: Design, build, and maintain sophisticated data models and automated dashboards that serve as single sources of truth for the organization.Stakeholder Partnership: Act as the primary point of contact for cross-functional teams (Product, Marketing, Ops). Distill technical complexities into clear, actionable narratives for non-technical audiences.Process Automation & Optimization: Identify and automate repetitive data tasks using SQL and Python etc. Champion best practices for data governance, documentation, and code efficiency. Unique ChallengesCross-Domain Adaptability: Navigate and integrate complex data streams across diverse business functions such as shipping logistics, payment processing, product development, and marketing. This role requires the flexibility and curiosity to continuously master new operational domains and synthesize overarching business insights.Autonomy and Bias for Action: Operate independently within a fast-paced, highly ambiguous environment. You will be expected to proactively identify critical business problems, independently design analytical frameworks, and execute data-driven solutions with minimal oversight or predefined project scoping.Strategic Cross-Functional Leadership: Partner effectively with stakeholders across Product, Marketing, Operations, and Finance, often reconciling competing priorities and disparate data sources. This requires the ability to distill complex analytics into accessible narratives and influence strategic, cross-departmental decision-making without relying on direct organizational authority. QualificationsRequired Experience/SkillsStrong interest in growth, marketing, and direct business impact, with a willingness to explicitly own business impact.Proven experience applying machine learning to real, user-facing decisions and production environments.Proficiency in Python and SQLExperience with large-scale data processing tools (e.g., BigQuery, or equivalent)Solid understanding of statistics, experimental design, and causal reasoningPreferred Experience/SkillsPrior work experience in a C2C marketplace or in a similar domain.Experience with ML frameworks(e.g., scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch)Familiarity with ML deployment and monitoring in production systemsExperience with both RDBMS and NoSQL databases, as well as exposure to backend engineering practices (e.g., microservices, Go, gRPC) and cloud platforms.Language Japanese: PreferredEnglish: Required 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