Lead Data Scientist

(Tokyo)

■ Your Role and Responsibilities

Identify and solve advanced analytic problems. Develop and apply appropriate algorithms, models and techniques in diverse technology domains: causal inference, natural language processing, computer vision, location analysis, time series analytics, etc.
Research and develop new emerging technologies, and quickly prototype solutions applying most recent mathematical modeling, algorithms and techniques.
Conduct end-to-end analyses, including requirements specification, data gathering, processing, analysis, and lead presentations to management stakeholders.
Lead Data Science projects and contribute to the development of team members. These include performing code review, leading seminars, attending international conferences.

■ Work Location

■ Experience and Qualifications

Advanced degree in a quantitative field like math, computer science, statistics, operations research, engineering or econometrics.
5 years of continuous practical experience in at least two of the following areas: natural language processing, computer vision, statistics, causal inference, data mining, optimization, reinforcement learning.
5 years of continuous hands-on experience in Python, and experience in processing large dataset on cloud and databases.
Experience in coaching 5 or more team members.
Experience working with programming methodologies such as version control, testing, QA, collaborative software development methods (Eg., pull-requests, code review, shared coding standards).
Ability to explain complex technical concepts to the management and other stakeholders.
MUST - JP: Native (or Fluent), ENG: Business

■ Additional Preferred Qualifications

5 years of continuous hands-on experience in natural language processing domain
Practical experience in developing solutions using large language models
Experience working in a consulting company and delivering engagements directly to clients and external stakeholders.
Expert ability to rapidly ingest, transform, engineer, and visualize data developing quick prototypes
Be passionate about discovering and applying new technologies, ideas and unique solutions to complex and transformational business problems
Be creative, yet disciplined in their approach and constantly engaged in learning new skills to support the transformation agenda
Have a high level of discipline and a structured approach for documenting and managing one’s own work
Be a self-motivator and possess the communication skills and character to constantly engage with a fast-paced, always changing team