Senior Data Scientist, User Insights and Search Analytics - Insights and Developer Experience Department (IDX)
Rakuten Crimson House, Japan
Rakuten
楽天グループ株式会社のコーポレートサイトです。企業情報や投資家情報、プレスリリース、サステナビリティ情報、採用情報などを掲載しています。楽天グループは、イノベーションを通じて、人々と社会をエンパワーメントすることを目指しています。Job Description:
Department Overview
The Rakuten Technology Service Division, creates powerful, customer-focused search, recommendation, data science, advertising, marketing, price and inventory optimization solutions to a variety of businesses in commerce, fintech and mobile industries. We design, develop, and deploy high performance, fault-tolerant distributed systems used by millions of Rakuten customers every day. We strive to deliver the most innovative solutions that are helpful to people and societies around the world.
Position:
Why We Hire
The primary focus of this role is to define and measure our search functionality and evaluate the effectiveness of A/B tests related to search performance. You will work closely with cross-functional teams, including product managers, engineers, and data scientists, to improve the search experience and drive business outcomes through data-driven decisions.
Position Details
- Analyze user search behavior, engagement patterns, and search intent to identify areas for improvement.
- Design, implement, and analyze A/B tests to evaluate the impact of changes in search algorithms and features.
- Develop metrics and KPIs to measure the success of search experiments.
- Interpret test results, provide actionable insights, and make data-driven recommendations.
- Design and develop scalable pipelines to ingest, process, and analyze large volumes of data; balance data service performance and infrastructure cost.
- Optimize data application performance and scalability through efficient coding practices and system architecture design.
- Perform deep-dive to understand search performance and user interaction.
- Create dashboards and reports to track search metrics and A/B test results.
- Communicate findings and insights to stakeholders through clear and concise reports.
Mandatory Qualifications:
- 3+ years of experience in data science or a related field, preferably in ecommerce.
- Experience with end-to-end A/B testing and experimental design.
- Solid knowledge of statistics and applied econometrics.
- Excellent communication skills, with the ability to convey complex findings to non-technical stakeholders in a clear and concise manner.
- Proficiency in programming languages such as Python, R, and SQL.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
Desired Qualifications:
- Advanced degree in Statistics, Computer Science, or a related field.
- Experience with Spark or similar distributed data processing frameworks.
- Strong understanding of A/B testing, search algorithms, and information retrieval techniques.
- Experience working in a fast-paced, agile environment.
- Proven track record of driving business outcomes through data-driven decision-making.
#engineer #datascientist #technologyservicediv
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile Architecture Big Data Computer Science Data visualization Distributed Systems E-commerce Econometrics FinTech Hadoop KPIs Machine Learning Pipelines Python PyTorch R Spark SQL Statistics TensorFlow Testing
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