Senior Data Scientist

• Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
• Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
• Selecting and employing advanced statistical procedures to obtain actionable insights.
• Cross-validating models to ensure their generalizability.
• Producing and disseminating nontechnical reports that detail the successes and limitations of each project.
• Suggesting ways in which insights obtained might be used to inform business strategies.
• Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
• Participate in the entire lifecycle of data science projects, fromproblem definition to solution delivery, and maintenance.
• Develop, test, and evaluate data hypotheses, methods, andmodels using appropriate techniques and tools.
• Collaborate with engineers to implement scalable and robust datapipelines and systems.
• Stay updated on the latest research and trends in data science.
• Analyze client data and business needs to identify opportunitiesand propose data-driven solutions.
• Communicate and present your findings and recommendations toclients and stakeholders clearly and effectively.
• Lead data science projects as well as provide guidance/mentorshipto junior data scientists.
• Formulating, suggesting, and managing data-driven projects that are geared at furthering the business's interests.
• Collating and cleaning data from various entities for later use by junior data scientists.

• Advanced degree in data science, statistics, computer science, or similar.
• Extensive experience as a data scientist.
• Proficiency in R or Python, where the former is preferred.
• In-depth understanding of SQL.
• Competent in machine learning principles and techniques.
• Demonstrable history of devising and overseeing data-centered projects.
• Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
• Outstanding supervision and mentorship abilities.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
• Compliance with prevailing ethical standards.
• Be fluent in English.
• Have a bachelor's degree in Computer Science, AppliedMathematics, or related fields.
• Be proficient in Python (numpy, pandas, tensorflow/pytorch) andSQL.
• Have at least 5 years of industrial experience in NLP and/orMachine Learning (tabular data).
• Be good at communication and presentation: able tocommunicate with non-tech stakeholders to understand businessas well as present technical solutions.
• Have excellent problem-solving skills.
• Be self-motivated and eager to learn new technologies.
• Have experience in leading a data science team.
• Experience in Big Data, and cloud (AWS, Google Cloud, Azure).
• Familiar with working with Agile process.
• A deep understanding of a specific domain or industry vertical(insurance, logistics,).
• Experience in Solution Design.
• Be able to communicate in Japanese.

We are looking for talented and passionate data scientists who can

apply their skills and knowledge in analytics and ML/DL to solve real-world problems for our clients. You will be part of a dynamic andcollaborative team that works on diverse and challenging projectsacross various domains and industries.