A Fortune 500 Global Insurance company is seeking a talented Data Scientist in the Data Science & Advanced Analytics Team who will work closely with business stakeholders, mostly in Japanese, to understand their requirements and the business background, and lead data analytics initiatives from conception to delivery.

Responsibilities

- Collaborate with business stakeholders to gather requirements, understand business context, and derive data-driven solutions

- Lead and oversee data analytics initiatives, including planning, executing, and delivering high-quality analytical solutions

- Work in close collaboration with the data platform team and other IT teams, identifying dependencies and resolving blockers to ensure smooth development processes

- Demonstrate deep understanding of analytics initiatives, machine learning model development, deployment, and timeline management.

- Utilize CI/CD, MLOps, Azure or similar cloud platforms, and DevOps to streamline development and deployment processes

- Utilize hands-on skills with SQL, Python, Pandas, PySpark, AzureML, and PowerBI to develop and implement data models and analytics

- Analyze business requirements, create proper data solutions that meets functional and non-functional requirements

- Work with the Application Development team to implement data strategies, build data flows

【Company Details】
A U.S.-headquartered insurance company with offices in major cities around the world and a 40+ year history in Japan. The company focuses on creating a diverse environment, including the promotion of women, and supports their career development in Japan and abroad.

【Working Hours】
9:00 - 18:00（Mon - Fri）

*Hybrid (2 days Work from Home per week)

【Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, and Other Special Holidays

【Services / Benefits】
Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.

- Experience in advanced analytics roles within companies, delivering successful business outcomes.

- Proven track record of success in advanced analytics roles, with strong leadership 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