楽天グループ株式会社：1026001　Senior Data Scientist, User Insights and Search Analytics – Insights and Developer Experience Department (IDX)

会社名

楽天グループ株式会社

会社概要

未来を信じ、より良い明日を創っていく。
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。私たちは、そんな想いを大切に世界の人々に喜びと楽しさを届けます。
楽天は、E コマース、FinTech、デジタルコンテンツ、通信など、70 を超えるサービスを展開し、世界10 億以上のユーザーに利用されています。
これら様々なサービスを、楽天会員を中心としたメンバーシップを軸に有機的に結び付け、他にはない独自の「楽天エコシステム」を形成しています。ダイバーシティ推進は、楽天にとって最優先の企業戦略のひとつです。従業員の出身は70カ国・地域以上。世界中からユニークで多様な文化的背景や視点を持つ優秀な人材が集まり、イノベーションの原動力になっています。社内カフェテリアにはベジタリアン、ハラル対応のメニューを用意。礼拝所（Prayer room）もあります。
また、仕事と育児の両立支援や、障がい者雇用・活躍促進も積極的に推進。社内のLGBT（※1）当事者やアライ（※2）に対して、情報共有やサポート体制の強化も進めています。誰もが自分らしく力を最大限発揮して働ける。それが楽天のダイバーシティです。

70を超えるサービスを提供し、世界30カ国にサービス展開拠点を持ち、従業員の出身国・地域数は100を超え、オープンポジション制度を活用して多様なキャリアを描くことができる点も魅力です。
フレックスタイム制度、事情に応じたリモートワークの活用が可能です。本社には託児所やフィットネスジム、三食無料で利用可能なカフェテリアが併設されるなど、社員を支える環境が整備されています。

ポジション

1026001　Senior Data Scientist, User Insights and Search Analytics - Insights and Developer Experience Department (IDX)

仕事内容

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.

求める経験・スキル

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.