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