Data Scientist

Job Type
8,000,000 - 10,000,000 JPY per year (depending on experiences)
Japanese Level
Advanced (JLPT Level 1)
English Level
Fluent (TOEIC 990)
Start Date


A fast growing global Insurance company is seeking a Data Scientist with hands on experience, responsible for data analytics for Japanese customers in collaboration with the global data team.


The successful candidate will join a newly established team and contribute to a variety of new and exciting, large scale projects with cutting-edge data analytics as well as machine learning technologies.



- Think through hard problems, and work with a team to make them reality and provide very tangible benefits to the corporation

- Ensure alignment and prioritization with business objectives and initiatives

- Collaborate and socialize key initiatives with product and program managers and other internal stakeholders

- Evaluate potential opportunities via customer segmentation, behavior and product analytics

- Develop and validate evaluation metrics and models to analyze business performance and areas of opportunity

- Rapidly develop proof-of-concept prototypes to prove out hypotheses

- Encourage development and sharing of internal best practices and foster cross-departmental collaboration

- Ability to work independently, prioritize projects and meet client deadlines

- Take ownership of the deliverables and technical document writings

Required Skills

- Proven success with generating product strategies using Data Analysis (Big Data, Machine Learning, etc)

- General up-to-date knowledge of analytical methods, approaches and recent trends in technologies & machine learning

- Engineering / Science / Finance background or 3+ years working experience in those fields

- Ability to interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently

- Apache Spark / SQL / R or other technologies used in data analysis

- Willing to learn new technologies

Preferred Skills

- Ability to work with cross-functional stakeholders to define and prioritize requirements by drawing out key business insights to provide actionable recommendations

- Experience in raising awareness of BI within market, internally and externally