Job opening - [Professional Contract] Data Scientist @ Foreign Insurance - Up to 4 Day WFH in 東京23区 | Randstad

summary

東京23区, 東京都
¥7,000,000 - ¥12,000,000 per year, 年収700 ～ 1,200万円
contract

job category
information technology

job details

社名
社名非公開

職種
データサイエンティスト

業務内容
WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!

求められる経験
Experience:
- MIN 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes. ...

- Able to communicate efficiently in both Japanese and English with technical and business stakeholders. (No Japanese? If you are highly experienced, English-only candidates may be considered)
- Proficiency in quantitative methods and business analytics, with strong problem-solving skills.
- Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction.
- Competent in programming with tools like Python and SQL.
- Strong understanding of data visualization tools, especially PowerBI.
- Experience with CI/CD, MLOps, and cloud platforms like Azure for
deploying analytics and ML solutions.
- Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML.
- Background in financial or insurance domain, particularly in operations and marketing.

保険
健康保険　厚生年金保険　雇用保険

休日休暇
土曜日　日曜日　祝日

給与
年収700 ～ 1,200万円

賞与
-
雇用期間
期間の定めなし

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社名
社名非公開

職種
データサイエンティスト

業務内容
WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!

求められる経験
Experience:
- MIN 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes.
- Able to communicate efficiently in both Japanese and English with technical and business stakeholders. (No Japanese? If you are highly experienced, English-only candidates may be considered)
- Proficiency in quantitative methods and business analytics, with strong problem-solving skills.
- Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction.
- Competent in programming with tools like Python and SQL.
- Strong understanding of data visualization tools, especially PowerBI.
- Experience with CI/CD, MLOps, and cloud platforms like Azure for
deploying analytics and ML solutions.
- Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML.
- Background in financial or insurance domain, particularly in operations and marketing. ...

show more

experience
Experience: - MIN 5+ years of experience in advanced analytics roles within companies, delivering su

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