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# Senior Growth Data Analyst/Scientist, US App

- **Company:** Mercari
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Cleansing, Data Governance, Relational Databases, Python (Programming Language), Machine Learning, NoSQL, Tensorflow, SQL Databases, Data Streaming, Pytorch, Scikit Learn, Data Analytics, Xgboost, Microservices
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj29ljiba1

## About the Role

* Required Experience/Skills
 * At least 7 years experience working in Data Analytics with large-scale data processing tools (SQL, Python etc)
 * Strong track record in growth, marketing, and direct business impact, with a willingness to explicitly own business impact.
 * Solid understanding of statistics, experimental design, and causal reasoning
 * Preferred Experience/Skills
 * Prior 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 systems
 * Experience with both RDBMS and NoSQL databases, as well as exposure to backend engineering practices (e.g., microservices, Go, gRPC) and cloud platforms.
 * Proven experience applying machine learning to real, user-facing decisions and production environments.
 * Language
 * Japanese: Preferred
 * English: Required

## Description

* From Profitability to Double-Digit GMV Growth: Inside Mercari US's Diverse Team
 * Through the Eyes of Two VPs: From Profitability to Entering a New Growth Phase

Work Responsibilities

 * Strategic 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 Challenges

 * Cross-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.