【マッキンゼー・アンド・カンパニー】Expert Data Scientist
仕事内容
What You'll Do
In this role you will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems. You will work in multi-disciplinary environments harnessing data to provide real-world impact for organization globally.
You will also work with specialists including, but not limited to software engineering, data engineering and design. You will be encouraged to write whitepapers, develop internal assets and present at meetings and conferences should you wish.
As an Expert Data Scientist in QuantumBlack Japan you will
Act as a leader and mentor for a group of data scientists and engineers in the QuantumBlack Japan team
Advise clients on a variety of topics leveraging your expertise in Data Science including use case feasibility estimation, solution architecture of AI solutions, capability building through training and pair programming, etc.
You will help lead digital and analytics engagements that include the development and deployment of AI technologies
Produce high-quality code that allows us to deploy analytical solutions in Production
Suggest and build model features through requirements gathering with McKinsey consultants and Client team members
Lead code reviews and refactoring
Contribute to model and architecture design decisions
Advocate for and drive the adoption of our engineering best practices and high
software engineering standards
応募資格(必須経験など)
Qualifications
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Significant programming experience in languages such as Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of cloud data systems and data platforms such as Microsoft Azure, AWS, Databricks
Proven application of advanced analytical and statistical methods in the commercial world
Strong command of both English and Japanese (JLPT N1 or Native)