lead data scientist [mlops].

- 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes.
- Proven track record of success in advanced analytics roles, with strong leadership skills.

Business Knowledge/Technical Skills:
- 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 the financial or insurance domain, particularly in operations and marketing.

Leadership Competencies:
-Continuous motivation to upgrade domain knowledge and evaluate the application in the business area.
- Strong interpersonal skills to establish relationships, build rapport, and influence colleagues across all levels.
-Excellent communication skills to present and convey complex information concisely to diverse audiences.

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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1,200 ～ 1,600万円

賞与
Yes
雇用期間
期間の定めなし