【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
仕事内容
【(Data Science) TC-AI and Data 】データサイエンスコンサルタント 日本語必須
■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。
■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.