■Data Science Team
データやシミュレーションを活用した意思決定の高度化と課題解決を目的として、アカデミックの知見に基づいたプロフェッショナルサービスを官民に提供しているチームです。
-統計・機械学習、計算機科学、経営工学、計量経済学などデータに基づいた意志決定を扱う領域における研究経験(データサイエンス領域)のあるメンバーで構成され、理論に基づいた高度な分析から業務への示唆・提言
-理論に基づいた高度な分析を活用してビジネスの意志決定の高度化を支援するチーム
-専門性を極めて重視したチーム
What we do
データをもとに科学的アプローチによって問題解決
意志決定の高度化のためのデータ活用支援
How we think
Data Scienceは、「問題解決のための道具」
必要に応じて研究レベルで実施
【Senior Data Scientist (+5 years experience)】
Senior Manager
Role Description
- Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing
- Works with clients / stakeholders to design, deliver insights and develop solutions using multiple sources of structured, semi-structured and unstructured data
- Acts as an intermediary between the business / client community and the technical community
- Presents complex solutions and options in a simplified manner for clients / business
Responsibilities
- Leads the delivery of large projects and data science insights using a range of tools and methods and serves as a best practice resource for team members
- Builds internal relationships with key stakeholders across the business as well as externally with the client and technical community
- Ensures robust governance around data ethics and use of data within data science models, setting policies and procedures
- Develops new data sources internally and externally and identifies large projects and opportunities through close collaboration with the business, client and technical community
【Data Scientist (+3 years experience)】
Senior Consultant/ Manager
Role Description
- Develops and reviews complex data analytics models, algorithms, systems and solutions, using advanced and specialist data science, programming and analytical techniques
- Delivers complex predictive models and identifies new projects, opportunities and data sources which can be used to drive measurable client and commercial benefit
- Provides insights and recommendations from different data sources to senior team members to help make decisions that drive better business outcomes for clients
Responsibilities
- Works closely with senior team members to scope, identify and establish appropriate data analysis methodologies for projects
- Seeks new data sources internally and externally that enable leading edge data science solutions
- Develops complex statistical modelling tools that drive business outcomes for clients, involving complex algorithms, artificial intelligence methods, machine learning, deep learning and advanced statistics
- Confidently uses visual tools to communicate data insights and links data to business outcomes.
■技術・知識面
統計学、機械学習、コンピュータサイエンス、計量経済学などの領域に対する「体系的な理解」
プログラム言語
R, Python, Julia, SAS
アジャイルでのシステム構築経験
■歓迎
コンサルティングファームでAnalytics関連部署の方
統計分析、機械学習手法を活用したデータ分析を伴うプロジェクトにおける、クライアントフェーシングの経験者
データ分析を伴うプロジェクトにおいて、顧客の課題ヒアリングなど上流工程の経験者
数理手法を用いた研究経験
データ分析が好きな人
データ分析を用いた課題解決をしたいマインド
【Senior Data Scientist (+5 years experience)】
Senior Manager
Technical Skills & Knowledge
- Understanding in quantitative approach such as Statistics, Machine Learning, Computer Science, Econometrics
- Expertly uses all technologies and skills to design and deliver business solutions for clients (internal or external)
Experience
- Quantitative experience
- Customer facing experience
- Extensive experience with most of the technologies and skills (R, Python, Julia, C, C++)
- Experience contributing to research activity and/or designing and leading delivery of training, and/or internal events
Language
-Japanese Capability
【Data Scientist (+3 years experience)】
Senior Consultant/ Manager
Technical Skills & Knowledge
- Understanding in quantitative approach such as Statistics, Machine Learning, Computer Science, Econometrics
- Demonstrates solid knowledge of a good proportion of related skills and technologies
- A high level of proficiency with at least one programming language (R, Python, Julia, C, C++)
- Demonstrates ability to use the most complex skills and technologies
Experience
- Experience working on multiple projects requiring a wide range of skills and technologies, including the most complex ones (Data Science related)
- Experience extracting data from structured and semi-structured data
- Strong experience using a variety of data mining / data analytics methods and tools, building and implementing models, query languages and programming
- Experience delivering training in specific topics
Language
-Japanese Capability
【想定選考プロセスについて】
・選考回数：3回
・その他：想定ランクに応じて適性検査・ケース面接実施の可能性あり
※選考プロセスは変更となる可能性があります
EY東京オフィス ‐ 東京ミッドタウン日比谷
