Data Analyst

Company Overview
Leading personal devices insurance provider.

Job Description
Our client in the mobile and personal devices insurance business is seeking for an exceptional candidate for our fast growing data science team, newly established in Japan in September 2016. The Data Scientist with practical hands-on experience is expected to deal with data analytics for Japanese customers, collaborating with our global data team.

Specific Responsibilities

Data collection and cleansing by collaborating with related departments across the company.
Build statistical/ML models to analyze data according to product requirements.

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.
Take ownership of the deliverables and technical document writings.

Requirements
Essential Skills and Experience

Proven success with generating product strategies using data analysis (Big Data, Machine Learning, etc)
General up-to-date knowledge of recent trends and familiarity with a variety of libraries in machine learning methods.
Engineering/Mathematical Science background and 2+ years working experience in those fields.
Ability to work independently, prioritize projects and meet client deadlines.
Ability to interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
Willing to learn new technologies.
Can-do attitude.

Preferred Skills

Working experience of Natural Language Processing such as topic extraction, answering system, summary-like generation.
Working experience of theoretical/practical algorithm development in those fields such as machine learning, mathematical optimization.
Experience of using Apache Spark or other platforms used in distributed computing
Language

Business-level: either Japanese or English
Fluent: either Japanese or English

Additional Job Information
Fast growing, multi-cultural, international team
Exposure to the latest data analytics and machine-learning technologies.
Work in a dynamic, collaborative, transparent, non-hierarchal, and ego-free culture where your talent is valued over a role title.
Work/Life Balance: we honor great work and producing great deliverables. Not sitting in the office all day and night.
Opportunities: variety, innovation and unique challenges, where you can learn something new every day

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