【外資系保険会社】ITデータサイエンティスト

勤務形態
正社員
給与
6,000,000 JPY - 8,000,000 JPY per year
日本語レベル
なし
英語レベル
流暢(TOEIC 990)
開始日
ASAP
勤務地
東京

職務内容

A global Insurance and Mobile Device Support Services company is seeking Data Scientist for a fast growing data science team, newly established in Japan in September 2016. The successful candidate with have practical hands-on experience and provide data analytics for Japanese customers, collaborating with a global data team.

【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.


【会社概要 | Company Details】
携帯電話を壊した場合に代わりの携帯電話と交換したり、修理をしたり、複雑な電子機器の設定の仕方をリモートでアドバイスしたりと、安心で快適なデジタルライフを支援する外資系保険会社です。
Great opportunity to work at a global insurance company that aspires to support their customers with digital product troubles. The company will replace or repair your mobile phones or provide remote support on how to set up electronic devices.

【就業時間 | Working Hours】
9:00 - 17:30(Mon - Fri)

【休日休暇 | Holidays】
完全週休2日制(土日祝休み)、年末年始、年次有給休暇、その他特別休暇など
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays

【待遇・福利厚生 | Services / Benefits】
各種社会保険完備(厚生年金保険、健康保険、労災保険、雇用保険)、通勤交通費支給等
Social insurance, Transportation Fee

必須スキル

‐ 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.
‐ Apache Spark / SQL / R or other similar technologies used in data analysis
‐ 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.

優遇されるスキル・経験

‐ 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